Learning in multilayer perceptrons using
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V.P. Plagianakos; G.D. Magoulas; M.N. Vrahatis
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Article
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2001
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Elsevier Science
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English
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Learning algorithms for multilayer perceptrons are usually based on local minimization methods that can be often trapped in a local minimum of the error function. In this work, the use of global optimization strategies for training multilayer perceptrons is investigated. These methods are expected t