Data classification using hybrid SOM-RBF architecture.

Abstract

This thesis looks into the methodologies of implementing hybrid neural network for data classification application. Among the vast varieties of Artificial Neural Network (ANN) architectures, each has its own unique capabilities. By proper combination of information from various specialised neural networks of different paradigms.