MATLAB Source Files for RBF Neural Network Implementation

This MATLAB source file implements a Radial Basis Function (RBF) neural network for brain image classification tasks, specifically designed to distinguish between brain tissues such as gray matter and white matter. The package includes sample brain images to facilitate understanding and practical application of the network. Brain image classification represents a critical medical imaging task that assists physicians and researchers in better understanding and diagnosing neurological disorders. The implementation features RBF network architecture with Gaussian basis functions, clustering algorithms for center selection, and weight optimization techniques. Through this source code, you can learn how to configure RBF networks for image classification, including data preprocessing, network training with gradient descent or pseudo-inverse methods, and performance evaluation. The modular code structure allows for easy customization and extension to accommodate specific research requirements. We hope this resource proves valuable for your medical image analysis projects!