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Hybrid evolutionary approach for designing neural networks for classification

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1 Author(s)
Z. -H. Tan ; Dept. of Commun. Technol., Aalborg Univ., Denmark

An approach for the automatic design of artificial neural networks is presented where a hybrid evolutionary algorithm (HEA) is applied to the structural and parametric learning of networks. The HEA combines genetic algorithms and evolutionary programming on the basis of a real-valued multi-matrix representation. Experimental results show that the proposed approach has a good generalisation and a low computational cost.

Published in:

Electronics Letters  (Volume:40 ,  Issue: 15 )