Improving the Multilayer Perceptron Learning by Using a Method to Calculate the Initial Weights with the Similarity Quality Measure Based on Fuzzy Sets and Particle Swarms
The most widely used neural network model is Multilayer Perceptron (MLP), in which training of the connection weights is normally completed by a Back Propagation learning algorithm. G ood initial values of weights bear a fast convergence and a better generalizat...
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| Publicado no: | Computación y Sistemas |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Instituto Politécnico Nacional
2015
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=61539886009 |
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