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- W3156292765 abstract "In a companion paper, a constructive approach for designing feedforward neural networks using genetic algorithms is proposed [7, 8]. The algorithm constructs networks with close to optimum size growing hidden layer units in a problem specific manner and has very good generalization properties. In this paper, in order to make the constructive design algorithm computationally efficient, a two stage speed up method is proposed: (1) parallel genetic search for hidden layer units construction; and (2) the dynamic pocket algorithm for learning the hidden to output layer weights. The proposed parallel method achieves significant computational speed-up over the sequential method and is suitable for distributed implementation. In addition, the dynamic pocket algorithm can be used to speed up various other neural network constructive design methods." @default.
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- W3156292765 date "2001-01-01" @default.
- W3156292765 modified "2023-09-27" @default.
- W3156292765 title "Parallelizing design of application tailored neural networks" @default.
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