A Neuro-Genetic Technique for Pruning and Optimization of ANN Weights
A novel technique for optimization of artificial neural network (ANN) weights which combines pruning and Genetic Algorithm (GA) has been proposed. The technique first defines “relevance” of initialized weights in a statistical sense by introducing a coefficient of dominance for each weight and subse...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2018.1525524 |