A sensitivity analysis algorithm for pruning feedforward neural networks
Andries Petrus Engelbrecht, Ian Cloete · 2002
A pruning algorithm, based on sensitivity analysis, is presented in this paper. We show that the sensitivity analysis technique efficiently prunes both input and hidden layers. Results of the application of the pruning algorithm to various N-bit parity problems agree with well-known published results.