David B F. An introduction to simulated evolutionary optimization. 1EEE Transactions on Neural Networks,1994,(5):3-14.
[2]
Lai W K,Coghill G G, Genetic breeding of control parameters for the Hopfield/Tank neural net. In: Proc. Of International Joint Conference on Neural Networks ,Baltimare,USA. 1992,618-623.
[3]
Hiroyuki S, Atsushi 1, Shunji K, Tsuneo T. A solution of eombinatorial optimization problem by uniting genetic algorithms with Hoplield\\'s model. In: Proc, of 1994 IEEE International Conference on Neural Networks,Orlando,USA,1994,4704-4709.
[4]
Yao X.A reviews of evolutionary artificial meural networks.International Journal of Intelligent Systems, 1993, (8): 539-567.
[5]
Hopfield J J, Tank D B. "Neural" computation of decisions in optimization problems. Biol. Cybern. 1985,(52):141-152.
[6]
Toshio F,Tadashi K,Takanori S. Heuristic leaning by genetic algorithm for recurrent neural network. In: Proc, of the 32nd 1EEE Conference on Decision and Control,San Antonio,USA,1993,71-77.
[7]
Chao C H,Dhawan A P, Edge detection using a Hopfield neural network, Optical Engineering, 1994, (33): 3739-3747.
