Physical Sciences and Mathematics Commons^™

Training Methods For Shunting Inhibitory Artificial Neural Networks, Son Lam Phung

Theses : Honours

This project investigates a new class of high-order neural networks called shunting inhibitory artificial neural networks (SIANN's) and their training methods. SIANN's are biologically inspired neural networks whose dynamics are governed by a set of coupled nonlinear differential equations. The interactions among neurons are mediated via a nonlinear mechanism called shunting inhibition, which allows the neurons to operate as adaptive nonlinear filters. The project's main objective is to devise training methods, based on error backpropagation type of algorithms, which would allow SIANNs to be trained to perform feature extraction for classification and nonlinear regression tasks. The training algorithms developed will …