Representative evolution: a simple and efficient algorithm for artificial neural network evolution

In this study a new evolutionary algorithm, i.e., representative evolution (RE), for evolving artificial neural networks (ANN) is proposed. Unlike most of the evolutionary algorithms, the RE uses population information for generating variations in individuals of a population. An evolutionary system,...

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Bibliographische Detailangaben

Hauptverfasser:	Islam, M.M., Akital, H., Shahjahan, M., Murase, K.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Artificial intelligence Artificial neural networks Character recognition Evolutionary computation Feedforward systems Genetic algorithms Genetic mutations Genetic programming Humans
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