Upload chi_model.py

chi_model.py

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+# TSU-WAVE CHI Model
+import numpy as np
+
+def predict_chi(wcc, kpr, hfsi, becf, sdb, sbsp, smvi):
+    """Simple CHI prediction model"""
+    weights = {
+        'wcc': 0.12, 'kpr': 0.19, 'hfsi': 0.24,
+        'becf': 0.21, 'sdb': 0.08, 'sbsp': 0.11, 'smvi': 0.05
+    }
+    
+    # Normalize parameters (simplified)
+    params = {
+        'wcc': min(wcc/1.58, 1.0),
+        'kpr': min(kpr/2.0, 1.0),
+        'hfsi': 1 - min(hfsi/1.0, 1.0),
+        'becf': min(becf/6.0, 1.0),
+        'sdb': 1 - min(sdb/3.5, 1.0),
+        'sbsp': min(sbsp/1.2, 1.0),
+        'smvi': min(smvi/0.6, 1.0)
+    }
+    
+    chi = sum(weights[p] * params[p] for p in weights)
+    return chi
+
+if __name__ == '__main__':
+    # Tōhoku 2011 example
+    chi = predict_chi(1.56, 1.89, 0.31, 7.3, 0.8, 1.18, 0.38)
+    print(f'CHI: {chi:.3f}')