STRUCTURAL OPTIMIZATION OF MULTILAYER FEEDFORWARD NETWORKS BASED ON EVOLUTIONARY PROGRAMMING

R. Reed, Pruning algorithms A survey, IEEE Trans. on Neural Networks, 1993, NN-4(5), 740747.[2]T.Y. Kwok, D. Y. Yeung, Constructive algorithms for structure learning in feedforward neural networks for regression problems, IEEE Trans. on Neural Networks, 1997, NN-8(5), 1131 1148.[3]V. Maniezzo, Genetic evolution of the topology and weight distribution of neural networks, IEEE Trans. on Neural Networks, 1994, NN-5(1), 39-53.[4]P.J. Angeline, G. M. Saunders, J. B. Pollack, An evolutionary algorithm that constructs recurrent neural networks, IEEE Trans. on Neural Networks, 1994, NN-5(1), 54-64.[5]X. Yao.[J].Y. Liu, Evolutionary design of artificial neural networks with different nodes, Proc. of ICEC96. Nagoya, Japan.1996,:-[6]X. Yao. Y. Liu, A new evolutionary system for evolving artificial neural networks, IEEE Trans.on Neural Networks, 1997, NN-8(3), 694-713.[7]G.W. Greenwood. Training partially recurrent neural networks using evolutionary strategies IEEE Trans. on Speech Audio Processing, 1997. 5(1), 192-194.[8]P.G. Harrald. M. Kamstra, Evolving artificial neural networks to combine financial forecasts.IEEE Trans. on Evolutionary Computation, 1997, 1(1), 40-51.[9]徐立新,等,神经网络训练的一种随机方法,哈尔滨工业大学报,1996,29(3),85-87[10]S.V. Odri. D. P. Petrovacki. G. A. Krstonosic. Evolutional development of a multilevel neural network. Neural Networks, 1993,6(4), 694-713.