Data Clustering Using Radial Basis Function Neural Networks

Student: Shadia Pineda

Project Goal

• Design a RBFN to approximate a mappings defined by particular analytically given functions.

• Design  RBFN based on stochastic gradient approach.

• Design  RBFN by using the entire data sets and including the orthogonal least-square procedure to reduce the size of the neural network.

• Application of the above RBFNs on benchmark sets.