Pruning strategies for the MTiling constructive learning algorithm

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Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

Published: 1997, Last Modified: 14 Sept 2025ICNN 1997EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.