Proceedings of International Conference on Neural Networks (ICNN'96) · 2002 · 49 citations · 7 references
ComputingComputer EngineeringComputer ScienceAlgorithmsMachine LearningOptimizationNeural NetworksOptimization For Machine LearningPattern RecognitionSensitivity AnalysisFeedforward Neural NetworksLayer PruningLayer-wise PruningPruningPruning Sensitivity AnalysisTraining Pruning
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.
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Introduction to artificial neural systems
D.E. Nelson, Jun Wang · Neurocomputing · 1992 · 2K citations
Russell Reed · IEEE Transactions on Neural Networks · 1993 · 1.7K citations