Update radial_basis_function_neural_network.py

Author: JeninaAngelin

neural_network/radial_basis_function_neural_network.py

@@ -1,3 +1,15 @@
+''' Radial Basis Function Neural Network (RBFNN)
+
+A Radial Basis Function Neural Network (RBFNN) is a type of artificial 
+neural network that uses radial basis functions as activation functions. 
+RBFNNs are particularly effective for function approximation, regression, 
+and classification tasks.
+
+#### Reference
+
+- Wikipedia https://en.wikipedia.org/wiki/Radial_basis_function_network
+'''
+
 import numpy as np
 
 
@@ -132,12 +144,9 @@ def predict(self, input_data: np.ndarray) -> np.ndarray:
         rbf_outputs = self._compute_rbf_outputs(input_data)
         return rbf_outputs.dot(self.weights)
 
-
-from doctest import testmod
-
 # Example Usage
 if __name__ == "__main__":
-    testmod()  # Running the doctest
+    # doctest.testmod()  # Running the doctest
 
     # Sample dataset for XOR problem
     X = np.array([[0, 0], [1, 0], [0, 1], [1, 1]])  # 2D input