We propose in this paper a novel prescriptive solution to decide the optimum number of neurons in the hidden-layer of multilayer feedforward neural networks. Our approach uses the unconstrained mixed integer nonlinear multicriteria optimization technique. We validate the algorithm using numerical ex
A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems
β Scribed by M. Gethsiyal Augasta; T. Kathirvalavakumar
- Book ID
- 106483105
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 579 KB
- Volume
- 34
- Category
- Article
- ISSN
- 1370-4621
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