Publicação
Particle Swarms for Feedforward Neural Network Training
| Resumo: | Particle Swarm is a novel optimization paradigm for real-valued functions, based on the social dynamics of group interaction. In this work, it is proposed its application to the training of Neural Networks. Comparative tests were carried out, for classification and regression tasks, being the results compared with other approaches. |
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| Autores principais: | Mendes, Rui |
| Outros Autores: | Cortez, Paulo; Rocha, Miguel; Neves, José |
| Assunto: | Evolutionary Programming Feedforward Neural Networks Gradient-based Algorithms Particle Swarm Optimization |
| Ano: | 2002 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Particle Swarm is a novel optimization paradigm for real-valued functions, based on the social dynamics of group interaction. In this work, it is proposed its application to the training of Neural Networks. Comparative tests were carried out, for classification and regression tasks, being the results compared with other approaches. |
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