Training method for a feed forward neural network based on meta-heuristics
This paper proposes a Gaussian-Cauchy Particle Swarm Optimization (PSO) algorithm to provide the optimized parameters for a Feed Forward Neural Network. The improved PSO trains the Neural Network by optimizing the network weights and bias in the Neural Network. In comparison with the Back Propagatio...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Springer Science and Business Media Deutschland GmbH
2018
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026662697&doi=10.1007%2f978-3-319-63859-1_46&partnerID=40&md5=4ced0da20f5776abff3e471bacd835ca http://eprints.utp.edu.my/21979/ |
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