code stringlengths 3 1.18M | language stringclasses 1
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package gov.nasa.anml.lifted;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.utility.SimpleObject;
public interface ChainableExpression<V,S extends SimpleObject<? super S>> extends Expression<V,S> {
PDDL.Time splitFirst(PDDL.Time t);
PDDL.Time splitRest(PDDL.Time t);
}
| Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.Time;
import gov.nasa.anml.utility.SimpleObject;
import gov.nasa.anml.utility.SimpleString;
import static gov.nasa.anml.lifted.IdentifierCode.*;
//don't need reference... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.*;
import gov.nasa.anml.utility.*;
import gov.nasa.anml.PDDL;
//really this is a function binding
// Bind<Action,SimpleBoolean,SimpleVoid> is also a good choice, but technically one thing does actually modify
// the implicit p... | Java |
package gov.nasa.anml.lifted;
import java.util.Set;
public interface ExtensibleType<T extends Comparable> extends Type<T> {
void add(T member);
void extend(ExtensibleType<T> t);
void set(Enumeration<T> t);
boolean addSubType(ExtensibleType<T> t);
void addSuperType(ExtensibleType<T> t);
Enumeration<T> ... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.*;
import gov.nasa.anml.PDDL.Argument;
import gov.nasa.anml.PDDL.FunctionReference;
import gov.nasa.anml.PDDL.PredicateReference;
import gov.nasa.anml.PDDL.Time;
import gov.nasa.anml.utility.*;
// really this is a function bind... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.utility.SimpleBoolean;
import gov.nasa.anml.utility.SimpleObject;
public class Consume<T extends SimpleObject<? super T>> extends BinaryExpression<T,T,T> {
public Consume... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.Action;
import gov.nasa.anml.PDDL.ComplexAction;
import gov.nasa.anml.PDDL.Exists;
import gov.nasa.anml.PDDL.FloatLiteral;
import gov.nasa.anml.PDDL.Time;
import gov.na... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.Argument;
import gov.nasa.anml.PDDL.BooleanExpression;
import gov.nasa.anml.PDDL.Time;
import gov.nasa.anml.utility.SimpleObject;
import gov.nasa.anml.utility.SimpleVoid;
// few ... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.*;
import gov.nasa.anml.PDDL.TimedBooleanExpression;
import gov.nasa.anml.utility.*;
//really this is a function binding
public class FluentFunctionReference<T extends SimpleObject<T>> extends Bind<FluentFunction<T>,T,T> {
... | Java |
package gov.nasa.anml.lifted;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.*;
import gov.nasa.anml.PDDL.Time;
import gov.nasa.anml.utility.SimpleFloat;
import gov.nasa.anml.utility.SimpleObject;
public abstract class BinaryExpression<I extends SimpleObject<? super I>,V e... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.utility.SimpleBoolean;
import gov.nasa.anml.utility.SimpleObject;
public class Lend<T extends SimpleObject<? super T>> extends BinaryExpression<T,T,T> {
public Lend(Expression<T, T> l, Expression<T, ... | Java |
package gov.nasa.anml.lifted;
import java.util.*;
import gov.nasa.anml.utility.*;
public interface Constraint<T> extends Collection<T>, Cloneable {
//boolean contains(T v);
boolean containsAll(Constraint<T> t); //subsumes, supertype, superset, ...
Set<T> values();
Pair<T,T> bounds();
Constraint<T> ... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.utility.SimpleString;
import gov.nasa.anml.utility.SimpleVoid;
import static gov.nasa.anml.lifted.IdentifierCode.*;
public class ObjectLiteral extends IdentifierImp<SimpleSt... | Java |
package gov.nasa.anml.lifted;
import java.util.*;
import gov.nasa.anml.utility.Pair;
import gov.nasa.anml.utility.SimpleObject;
public class Enumeration<T extends Comparable> implements Constraint<T> {
// could have holes, unlike Range
public Set<T> values = new HashSet<T>();
// least over(upper)-appr... | Java |
package gov.nasa.anml.lifted;
import static gov.nasa.anml.lifted.IdentifierCode.*;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.FloatExpression;
import gov.nasa.anml.utility.SimpleObject;
import gov.nasa.anml.utility.SimpleString;
import gov.nasa.anml.utility.SimpleVoid;
... | Java |
package gov.nasa.anml.lifted;
import java.util.ArrayList;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.PDDL.Action;
import gov.nasa.anml.PDDL.BooleanExpression;
import gov.nasa.anml.PDDL.Effect;
import gov.nasa.anml.PDDL.FloatExpression;
import gov.nasa.anml.PDDL.Parameter;
import gov.nasa.anml.PDDL.Pred... | Java |
package gov.nasa.anml.lifted;
import gov.nasa.anml.PDDL;
import gov.nasa.anml.State;
import gov.nasa.anml.PDDL.Time;
import gov.nasa.anml.utility.SimpleBoolean;
import gov.nasa.anml.utility.SimpleObject;
import gov.nasa.anml.utility.SimpleVoid;
public class ANMLBoolean extends SimpleBoolean implements Cons... | Java |
package gov.nasa.anml.lifted;
import gov.nasa.anml.State;
import gov.nasa.anml.utility.SimpleBoolean;
public class Unordered extends CompoundIntervalExpression {
public SimpleBoolean value(State p) {
for (int i=0;i<expressions.size();++i) {
if (expressions.get(i).value(p) != ANMLBoolean.True)
ret... | Java |
package gov.nasa.anml;
import gov.nasa.anml.lifted.History;
import gov.nasa.anml.utility.ArrHashMap;
import gov.nasa.anml.utility.ArrMap;
import gov.nasa.anml.utility.SimpleObject;
public class BindingHistoryMap<T extends SimpleObject<? super T>> extends ArrHashMap<SimpleObject<?>[],History<T>> {
public Entr... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research;
import org.eclipse.emf.ecore.EAttribute;
import org.eclipse.emf.ecore.EClass;
import org.eclipse.emf.ecore.EPackage;
/**
* <!-- begin-user-doc -->
* The <b>Package</b> for the model.
* It contains accessors f... | Java |
package info.bondtnt.labs.model.research;
import org.eclipse.emf.common.util.EList;
/**
* @author <a href="mailto:bondtnt@gmail.com">Andrey Bondarenko</a>
* @model
*/
public interface BoundedGenericParameter<Type> extends AbstractBoundedGenericParameter<Type> {
/**
* @model changeable="false"
*/... | Java |
package info.bondtnt.labs.model.research;
import org.eclipse.emf.ecore.EObject;
/**
* @author <a href="mailto:bondtnt@gmail.com">Andrey Bondarenko</a>
* @model
*/
public interface NamedDoubleParameter extends EObject {
/**
* @model
*/
public String getName();
/**
* Sets the value of th... | Java |
package info.bondtnt.labs.model.research;
import org.eclipse.emf.ecore.EObject;
/**
* @model
*/
public interface AbstractBoundedGenericParameter<Type> extends EObject {
/**
* @model
*/
public abstract String getName();
/**
* Sets the value of the '{@link info.bondtnt.labs.model.research.Ab... | Java |
package info.bondtnt.labs.model.research;
import org.eclipse.emf.common.util.EList;
import org.eclipse.emf.ecore.EObject;
/**
* @author <a href="mailto:bondtnt@gmail.com">Andrey Bondarenko</a>
* @model
*/
public interface ParametersList<Type> extends EObject {
/**
* @model containment=true
*/
... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.BoundedGenericParameter;
import info.bondtnt.labs.model.research.ResearchPackage;
import org.eclipse.emf.common.util.EList;
import org.eclipse.emf.ecore.EClass;
imp... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.ParametersList;
import info.bondtnt.labs.model.research.ResearchPackage;
import java.util.Collection;
import org.eclipse.emf.common.util.EList;
import org.eclipse.e... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.AbstractBoundedGenericParameter;
import info.bondtnt.labs.model.research.ResearchPackage;
import org.eclipse.emf.common.notify.Notification;
import org.eclipse.emf.eco... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.NamedDoubleParameter;
import info.bondtnt.labs.model.research.ResearchPackage;
import org.eclipse.emf.common.notify.Notification;
import org.eclipse.emf.ecore.EClass;
... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.BoundedDoubleParameter;
import info.bondtnt.labs.model.research.ResearchPackage;
import org.eclipse.emf.common.util.BasicEList;
import org.eclipse.emf.common.util.EList;... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.impl;
import info.bondtnt.labs.model.research.AbstractBoundedGenericParameter;
import info.bondtnt.labs.model.research.BoundedDoubleParameter;
import info.bondtnt.labs.model.research.BoundedGenericParameter;
import in... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.util;
import info.bondtnt.labs.model.research.*;
import org.eclipse.emf.common.notify.Adapter;
import org.eclipse.emf.common.notify.Notifier;
import org.eclipse.emf.common.notify.impl.AdapterFactoryImpl;
import... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package info.bondtnt.labs.model.research.util;
import info.bondtnt.labs.model.research.*;
import java.util.List;
import org.eclipse.emf.ecore.EClass;
import org.eclipse.emf.ecore.EObject;
/**
* <!-- begin-user-doc -->
* The <b>Switch</b> for the m... | Java |
package info.bondtnt.labs.model.research;
import org.eclipse.emf.common.util.EList;
/**
* @author <a href="mailto:bondtnt@gmail.com">Andrey Bondarenko</a>
* @model
*/
public interface BoundedDoubleParameter extends AbstractBoundedGenericParameter<Double> {
/**
* @model changeable="false"
*/
pu... | Java |
package info.bondtnt.labs.model.research;
import org.junit.runner.RunWith;
import org.junit.runners.Suite;
@RunWith(Suite.class)
@Suite.SuiteClasses({
BoundedDoubleParameterImplTest.class,
BoundedParamTest.class,
BoundedTypedParameterImplTest.class
})
public class ResearchTestsSuite {
// the class ... | Java |
package info.bond.labs.ann;
/**
* @model
*/
public interface Monitor {
}
| Java |
package info.bond.labs.ann;
/**
* @model
*/
public interface OutputPatternListener {
/**
* @model
*/
int getInputDimension();
}
| Java |
package info.bond.labs.ann;
import java.util.Vector;
/**
* @author Andrey
*
*
* @model
*/
public interface NeuralLayer {
/**
* @model
*/
String getLayerName();
/**
* @model
*/
int getRows();
/**
* @model containment="true"
*/
public Vector<InputPatternListen... | Java |
package info.bond.labs.ann;
/**
* @model
*/
public interface InputPatternListener {
/**
* @model
*/
int getOutputDimension();
}
| Java |
package com.ibm.model.shapes.model;
import org.eclipse.emf.common.util.EList;
import org.eclipse.emf.ecore.EObject;
/**
* @model abstract="true"
*/
public interface Shape extends EObject {
/**
* @model
*/
String getName();
/**
* Sets the value of the '{@link com.ibm.model.shapes.model.Sh... | Java |
package com.ibm.model.shapes.model;
/**
* @model
*/
public interface RectangularShape extends Shape {} | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model;
import org.eclipse.emf.ecore.EAttribute;
import org.eclipse.emf.ecore.EClass;
import org.eclipse.emf.ecore.EPackage;
import org.eclipse.emf.ecore.EReference;
/**
* <!-- begin-user-doc -->
* The <b>Package</b> for th... | Java |
package com.ibm.model.shapes.model;
import org.eclipse.emf.common.util.EList;
import org.eclipse.emf.ecore.EObject;
/**
* @model
*/
public interface ShapesDiagram extends EObject {
/**
* @model type="com.ibm.model.shapes.model.Shape" containment="true"
*/
EList getShapes();
} | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.impl;
import com.ibm.model.shapes.model.Connection;
import com.ibm.model.shapes.model.ModelPackage;
import com.ibm.model.shapes.model.Shape;
import org.eclipse.emf.common.notify.Notification;
import org.eclipse.emf.eco... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.impl;
import com.ibm.model.shapes.model.Connection;
import com.ibm.model.shapes.model.ModelPackage;
import com.ibm.model.shapes.model.Shape;
import java.util.Collection;
import org.eclipse.emf.common.notify.Notificatio... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.impl;
import com.ibm.model.shapes.model.Connection;
import com.ibm.model.shapes.model.EllipticalShape;
import com.ibm.model.shapes.model.ModelFactory;
import com.ibm.model.shapes.model.ModelPackage;
import com.ibm.model.sh... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.impl;
import com.ibm.model.shapes.model.ModelPackage;
import com.ibm.model.shapes.model.Shape;
import com.ibm.model.shapes.model.ShapesDiagram;
import java.util.Collection;
import org.eclipse.emf.common.notify.Notifica... | Java |
package com.ibm.model.shapes.model;
/**
* @model
*/
public interface EllipticalShape extends Shape {} | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.util;
import com.ibm.model.shapes.model.*;
import org.eclipse.emf.common.notify.Adapter;
import org.eclipse.emf.common.notify.Notifier;
import org.eclipse.emf.common.notify.impl.AdapterFactoryImpl;
import org.eclipse... | Java |
/**
* <copyright>
* </copyright>
*
* $Id$
*/
package com.ibm.model.shapes.model.util;
import com.ibm.model.shapes.model.*;
import java.util.List;
import org.eclipse.emf.ecore.EClass;
import org.eclipse.emf.ecore.EObject;
/**
* <!-- begin-user-doc -->
* The <b>Switch</b> for the model's inher... | Java |
package org.joone.engine;
import java.beans.*;
public class GaussianLayerBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
private static BeanDescriptor beanDescriptor = new BeanDescriptor ( org.joone.engine.GaussianLayer.class , null ); // NOI18N
private static BeanDescri... | Java |
package org.joone.engine;
import java.util.TreeSet;
import org.joone.net.NetCheck;
/** This Synapse connects the N input neurons with the M output neurons
* using a matrix of FIRFilter elements of size NxM.
* A FIRFilter connection is a delayed connection that permits to implement
* a temporal backprop alg. functi... | Java |
package org.joone.engine;
public interface NeuralNetListener extends java.util.EventListener
{
void netStarted(NeuralNetEvent e);
void cicleTerminated(NeuralNetEvent e);
void netStopped(NeuralNetEvent e);
void errorChanged(NeuralNetEvent e);
void netStoppedError(NeuralNetEvent e,String error)... | Java |
package org.joone.engine;
import org.joone.engine.extenders.*;
/**
* This class implements the RPROP learning algorithm.
*
* @author Boris Jansen
*/
public class RpropLearner extends ExtendableLearner {
/** The RPROP extender. Only used to make back compatibility possible. */
private RpropExtender th... | Java |
package org.joone.engine;
import java.beans.*;
public class MemoryLayerBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
private static BeanDescriptor beanDescriptor = new BeanDescriptor ( MemoryLayer.class , null );
private static BeanDescriptor getBdescriptor(){
... | Java |
package org.joone.engine;
/**
* The <code>Fifo</code> class represents a first-in-first-out
* (FIFO) stack of objects.
*/
public class Fifo extends java.util.Vector {
private static final long serialVersionUID = -3937649024771901836L;
/**
* Tests if this stack is empty.
*
* @return <code>true</... | Java |
package org.joone.engine;
import java.util.ArrayList;
import java.util.Collection;
import org.joone.exception.JooneRuntimeException;
import org.joone.log.*;
import java.util.TreeSet;
import org.joone.inspection.implementations.BiasInspection;
import org.joone.net.NetCheck;
/** <P>This layer implements the Gaussian Ne... | Java |
/*
* ExtendableLearner.java
*
* Created on September 14, 2004, 8:30 AM
*/
package org.joone.engine;
import java.util.*;
import org.joone.engine.extenders.*;
/**
* Learners that extend this class are forced to implement certain functions, a
* so-called skeleton. The good thing is, because learners extend this c... | Java |
/*
* CircularSpatialMap.java
*
* Created on 2003/6/13 11:34
*/
package org.joone.engine;
/**
* This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.
* The radius of the circle is equal to the initial Gaussian Size and is reduced if t... | Java |
package org.joone.engine;
import java.beans.*;
public class MonitorBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
/*lazy BeanDescriptor*/
private static BeanDescriptor getBdescriptor(){
BeanDescriptor beanDescriptor = new BeanDescriptor ( org.joone.engine.Moni... | Java |
/*
* FanInBasedWeightInitializer.java
*
* Created on December 6, 2004, 12:17 PM
*/
package org.joone.engine.weights;
import org.joone.engine.Matrix;
/**
* The weights are uniformly distributed (that is randomly) within the range <code>[LB/F_i, UB/F_i]</code>.
* <code>LB</code> and <code>UB</code> stand for <i... | Java |
/*
* WeightInitializer.java
*
* Created on October 15, 2004, 3:20 PM
*/
package org.joone.engine.weights;
import org.joone.engine.Matrix;
/**
* This interface desribes the methods that needs to be implemented in order to create new
* weight (or bias) initializers. Weight initializers can be set by using the ... | Java |
/*
* RandomWeightInitializer.java
*
* Created on October 15, 2004, 3:30 PM
*/
package org.joone.engine.weights;
import org.joone.engine.Matrix;
import org.joone.log.*;
/**
* This class initializes weights (and biases) in a random way within a given domain.
*
* @author Boris Jansen
*/
public class RandomWeig... | Java |
/*
* netStoppedEventNotifier.java
*
* Created on 31 gennaio 2003, 21.19
*/
package org.joone.engine;
/**
* Raises the netStopped event from within a separate Thread
* @author root
*/
public class NetStoppedEventNotifier extends AbstractEventNotifier {
/** Creates a new instance of netStoppedEventNoti... | Java |
package org.joone.engine;
import java.beans.*;
public class TanhLayerBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
private static BeanDescriptor beanDescriptor = new BeanDescriptor ( TanhLayer.class , null );
private static BeanDescriptor getBdescriptor(){
re... | Java |
package org.joone.engine;
public class FreudRuleFullSynapse extends FullSynapse {
private static final long serialVersionUID = 4391516546875376355L;
public FreudRuleFullSynapse() {
super();
}
protected void backward(double[] pattern) {
int x;
int y;
double s, fr;
int m_rows = getInputDimension();
int... | Java |
package org.joone.engine;
import org.joone.log.*;
/**
* Layer that applies the tangent hyperbolic transfer function
* to its input patterns
*/
public class TanhLayer extends SimpleLayer implements LearnableLayer {
private static final long serialVersionUID = -2073914754873517298L;
/**
* Log... | Java |
/*
* SoftmaxLayer.java
*
* Created on 11 January 2006, 22.19
*
*/
package org.joone.engine;
/**
* The outputs of the Softmax layer must be interpreted as probabilities.
* The output of each node, in fact, ranges from 0 and 1, and
* the sum of all the nodes is always 1.
* Useful to implement the 1 of C classi... | Java |
package org.joone.engine;
import org.joone.log.*;
import org.joone.engine.learning.*;
import org.joone.exception.*;
import org.joone.inspection.*;
import org.joone.inspection.implementations.*;
import org.joone.io.*;
import org.joone.net.*;
import org.joone.util.*;
import java.io.*;
import java.util.*;
/**
* The L... | Java |
/*
* LogarithmicLayer.java
*
* Created on 1 settembre 2002, 21.19
*/
package org.joone.engine;
import org.joone.log.*;
/**
* This layer implements a logarithmic transfer function.
* Used in some NN to avoid to saturate the inputs.
* @author P.Marrone
*/
public class LogarithmicLayer extends SimpleLayer impl... | Java |
package org.joone.engine;
public class FullSynapse extends Synapse implements LearnableSynapse
{
private static final long serialVersionUID = 5518898101307425554L;
public FullSynapse() {
super();
learnable = true;
}
protected void backward(double[] pattern) {
int ... | Java |
/*
* RbfLayer.java
*
* Created on July 21, 2004, 3:32 PM
*/
package org.joone.engine;
/**
* This is the basis (helper) for radial basis function layers.
*
* @author Boris Jansen
*/
public abstract class RbfLayer extends Layer {
/** Creates a new instance of RbfLayer */
public RbfLayer() {
... | Java |
package org.joone.engine;
import java.util.ArrayList;
import java.util.Collection;
import org.joone.inspection.implementations.BiasInspection;
import org.joone.log.*;
/** The output of a linear layer neuron is the sum of the weighted input values,
* scaled by the beta parameter. No transfer function is applied to li... | Java |
package org.joone.engine;
import org.joone.exception.JooneRuntimeException;
import org.joone.log.*;
/** The output of a sigmoid layer neuron is the sum of the weighted input values,
* applied to a sigmoid function. This function is expressed mathematically as:
* y = 1 / (1 + e^-x)
* This has the effect of smooth... | Java |
package org.joone.engine;
import org.joone.net.NeuralNet;
/**
* Transport class used to notify the events raised from a neural network
*/
public class NeuralNetEvent extends java.util.EventObject {
private static final long serialVersionUID = -2307998901508765401L;
private NeuralNet nnet;
/**
... | Java |
/*
* RbfInputSynapse.java
*
* Created on July 21, 2004, 3:58 PM
*/
package org.joone.engine;
/**
* The synapse to the input of a radial basis function layer should't provide a
* single value to every neuron in the output (RBF) layer, as is usual the case.
* It should provide the outputs of all the input neuron... | Java |
package org.joone.engine;
import java.beans.*;
public class SimpleLayerBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
private static BeanDescriptor beanDescriptor = new BeanDescriptor ( SimpleLayer.class , null );
private static BeanDescriptor getBdescriptor(){
... | Java |
package org.joone.engine;
/**
* The pattern object contains the data that must be processed from a neural net.
* It can contain the input data or the training data.
*/
public class Pattern implements java.lang.Cloneable, java.io.Serializable
{
private int count;
private double[] array;
/* outArray:... | Java |
/*
* ContextLayer.java
*
* Created on 20 settembre 2002, 14.59
*/
package org.joone.engine;
import java.util.ArrayList;
import java.util.Collection;
import org.joone.inspection.implementations.BiasInspection;
/**
* The context layer is similar to the linear layer except that
* it has an auto-recurrent connecti... | Java |
package org.joone.engine;
import org.joone.net.NetCheck;
import org.joone.net.NeuralNet;
import java.io.*;
import java.util.*;
import org.joone.log.*;
/**
* The Monitor object is the controller of the behavior of the neural net.
* It controls the start/stop actions and permits to set the parameters of the net
* (... | Java |
/*
* ConvergenceEvent.java
*
* Created on October 28, 2004, 3:13 PM
*/
package org.joone.engine.listeners;
import org.joone.engine.Monitor;
/**
* This event will be generated whenever convergence has reached according to
* some criteria.
*
* @author Boris Jansen
*/
public class ConvergenceEvent extends ja... | Java |
/*
* ErrorBasedConvergenceObserver.java
*
* Created on October 28, 2004, 3:06 PM
*/
package org.joone.engine.listeners;
import org.joone.engine.*;
/**
* This observer observes if the network has convergenced based on the
* sequence of training errors.
*
* @author Boris Jansen
*/
public class ErrorBasedConv... | Java |
/*
* ErrorBasedTerminator.java
*
* Created on October 28, 2004, 2:45 PM
*/
package org.joone.engine.listeners;
import org.joone.engine.*;
import org.joone.util.MonitorPlugin;
/**
* Stops a network whenever the training error of the network falls below a
* certain value.
*
* @author Boris Jansen
*/
public ... | Java |
/*
* ConvergenceObserver.java
*
* Created on October 28, 2004, 3:21 PM
*/
package org.joone.engine.listeners;
import java.util.*;
import org.joone.engine.Monitor;
import org.joone.util.MonitorPlugin;
/**
* Abstract class for all convergence observer.
*
* @author Boris Jansen
*/
public abstract class Converg... | Java |
/*
* DeltaBasedConvergenceObserver.java
*
* Created on October 29, 2004, 12:05 PM
*/
package org.joone.engine.listeners;
import java.util.*;
import org.joone.engine.*;
import org.joone.net.*;
import org.joone.util.MonitorPlugin;
/**
* This observer observes if the network has convergenced based on the size of t... | Java |
/*
* ConvergenceListener.java
*
* Created on October 28, 2004, 3:16 PM
*/
package org.joone.engine.listeners;
/**
* Listens for convergence events.
*
* @author Boris Jansen
*/
public interface ConvergenceListener extends java.util.EventListener {
/**
* This method is called whenever the network... | Java |
package org.joone.engine;
/** This class implements a synapse that permits to have asynchronous
* methods to write output patterns.
* The <CODE>fwdPut</CODE> method, infact, uses a FIFO structure to
* store the patterns and to separate the writing from the reading layers.
*/
public class BufferedSynapse extends Sy... | Java |
/*
* AbstractEventNotifier.java
*
* Created on 31 gennaio 2003, 21.09
*/
package org.joone.engine;
/**
* This class raises an event notification invoking the corrisponnding
* Monitor.fireXXX method. The event is raised from within a separate
* Thread to avoid the race conditions to happen
*
* @author pmarro... | Java |
package org.joone.engine;
import java.util.ArrayList;
import java.util.Collection;
import org.joone.exception.JooneRuntimeException;
import org.joone.log.*;
import java.util.TreeSet;
import org.joone.inspection.implementations.BiasInspection;
import org.joone.net.NetCheck;
/** <P>This layer implements the Winner Take... | Java |
package org.joone.engine;
/** This interface represents an output synapse for a generic layer.
* @author: Paolo Marrone
*/
public interface OutputPatternListener extends NeuralElement {
/** Method to put a pattern forward to the next layer
* @param pattern neural.engine.Pattern
*/
public void fwdP... | Java |
package org.joone.engine;
import java.beans.*;
public class WTALayerBeanInfo extends SimpleBeanInfo {
// Bean descriptor//GEN-FIRST:BeanDescriptor
private static BeanDescriptor beanDescriptor = new BeanDescriptor ( org.joone.engine.WTALayer.class , null ); // NOI18N
private static BeanDescriptor getBd... | Java |
package org.joone.engine;
public class NeuralNetAdapter implements NeuralNetListener
{
public void cicleTerminated(NeuralNetEvent e) {}
public void netStopped(NeuralNetEvent e) {}
public void netStarted(NeuralNetEvent e) {
}
public void errorChanged(NeuralNetEvent e) {
... | Java |
/*
* CircularSpatialMap.java
*
* Created on 2003/6/13 11:34
*/
package org.joone.engine;
/**
* This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.
* The radius of the circle is equal to the initial Gaussian Size and is reduced if t... | Java |
package org.joone.engine;
import java.util.*;
/**
* This is the interface for all the layer objects of the neural network
*/
public interface NeuralLayer {
/** Adds a noise to the biases of the layer and to all the input synapses connected
* @param amplitude the noise's amplitude in terms of distance from ... | Java |
package org.joone.engine;
import java.util.Vector;
import java.util.TreeSet;
import java.io.*;
/** This class acts as a switch that can connect its input to one of its connected
* output synapses.
* Many output synapses can be attached to the switch calling the method addOutputSynapse,
* but only one is attached t... | Java |
package org.joone.engine;
import java.util.TreeSet;
/** <P>This is an unsupervised Kohonen Synapse which is a Self Organising Map.</P>
* <P>This KohonenSynapse works in conjunction with the next layer which should
* implement a SOM strategy such as a GuassianLayer or WTALayer (Winner Takes All). This synapse
* sh... | Java |
package org.joone.engine;
import java.util.ArrayList;
import java.util.Collection;
import org.joone.net.NetCheck;
import java.util.TreeSet;
import org.joone.inspection.implementations.BiasInspection;
/** Delay unit to create temporal windows from time series <BR>
* <CODE>
* O---> Yk(t-N) <BR>
* | ... | Java |
/*
* DeltaRuleExtender.java
*
* Created on September 14, 2004, 9:32 AM
*/
package org.joone.engine.extenders;
/**
* This abstract class describes the methods needed for a delta rule extender,
* that is, a class that computes / changes the delta (update weight) value
* according to some algorithm.
*
* @auth... | Java |
/*
* OnlineExtender.java
*
* Created on September 14, 2004, 1:53 PM
*/
package org.joone.engine.extenders;
/**
* This is the default weight updater (online). It stores the weights after each
* update.
*
* @author Boris Jansen
*/
public class OnlineModeExtender extends UpdateWeightExtender {
/** Crea... | Java |
/*
* SimulatedAnnealingExtender.java
*
* Created on September 15, 2004, 1:18 PM
*/
package org.joone.engine.extenders;
/**
* Simulated annealing (SA) refers to the process in which random or thermal
* noise in a system is systematically decreased over time so as to enhance
* the system's response.
*
* Basica... | Java |
/*
* BatchModeExtender.java
*
* Created on September 14, 2004, 11:39 AM
*/
package org.joone.engine.extenders;
import org.joone.engine.*;
/**
* This class implements the offline learning, that is, batch mode. Weights are
* updated after Monitor.getBatchSize() cycles.
*
* @author Boris Jansen
*/
public clas... | Java |
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