A genetic algorithm to obtain the optimal recurrent neural network
نویسندگان
چکیده
Selecting the optimal topology of a neural network for a particular application is a dicult task. In the case of recurrent neural networks, most methods only induce topologies in which their neurons are fully connected. In this paper, we present a genetic algorithm capable of obtaining not only the optimal topology of a recurrent neural network but also the least number of connections necessary. Finally, this genetic algorithm is applied to a problem of grammatical inference using neural networks, with very good results. Ó 2000 Elsevier Science Inc. All rights reserved.
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عنوان ژورنال:
- Int. J. Approx. Reasoning
دوره 23 شماره
صفحات -
تاریخ انتشار 2000