Radial Basis Function Neural Network Program (Clustering Algorithm)

This Radial Basis Function Neural Network Program (Clustering Algorithm) is developed using MATLAB software. The algorithm is based on neural network principles and performs clustering analysis on data to help identify patterns and regularities within datasets. In this implementation, we employ radial basis functions as activation functions for neurons, which effectively handle nonlinear data relationships through Gaussian kernel transformations. The MATLAB code typically involves defining network architecture with input layers, hidden radial basis layers, and output layers, using functions like newrbe or newrb for network creation. Key implementation aspects include configuring spread parameters for radial basis functions and optimizing cluster centers through iterative training processes. This program enables better understanding and analysis of complex data structures, providing more accurate and comprehensive information for research and decision-making applications.