Improving robustness of artificial neural networks model using genetic algorithm
Artificial Neural Networks (ANN) has been widely accepted as process estimators due its ability to capture complex relationships. However, experiences in implementing ANN estimators in research and industry have exposed some weakness that can be detrimental to the overall performance of plant operat...
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主要な著者: | , |
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フォーマット: | 論文 |
言語: | English |
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Universiti Malaysia Sabah
2003
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オンライン・アクセス: | http://eprints.utm.my/id/eprint/8025/1/ArshadAhmad2003_ImprovingRobustnessOfArtificialNeuralNetworks.pdf http://eprints.utm.my/id/eprint/8025/ |
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