Pruning strategies for the MTiling constructive learning algorithm
Rajesh Girish Parekh, Jiayi Tang, Vasant Honavar · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
We present a framework for incorporating pruning strategies in the MTiling constructive neural network learning algorithm. Pruning involves elimination of redundant elements (connection weights or neurons) from a network and is of considerable practical interest. We describe three elementary sensitivity based strategies for pruning neurons. Experimental results demonstrate a moderate to significant reduction in the network size without compromising the network's generalization performance.