IEEE - Institute of Electrical and Electronics Engineers, Inc. - Genetic programming techniques that evolve recurrent neural network architectures for signal processing

Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop

Author(s): Esparcia-Alcazar, A.I. ; Sharman, K.C.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 1996
Conference Location: Kyoto, Japan, Japan
Conference Date: 4 September 1996
Page(s): 139 - 148
ISBN (Paper): 0-7803-3550-3
ISSN (Paper): 1089-3555
DOI: 10.1109/NNSP.1996.548344
Regular:

We propose a novel design paradigm for recurrent neural networks. This employs a two-stage genetic programming/simulated annealing hybrid algorithm to produce a neural network which... View More

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