RESEARCHES ON THE NON-LINEAR MODELS OF TIME SERIES

Pandit S M, Wu S M. Time Series and System Analysis with Applications. NewYork: John Wiely, 1983, Chapter I.[2]韦岗,贺前华.神经网络模型、学习及应用.北京:电子科技出版社,1994,191-236.[3]Auestad B, Tjostheim D. Identification of nonlinear time and order determination[J].Biometricka.1990, 77(4):669-687[4]Cvbenko G. Approximations by superpositions of sigmoidal function. Mathematics of Control, Signals and Systems, 1989, (2): 303-314.[5]Funahashi K. On the approximate realization of continuous mapping by neural networks[J].Neural Networks.1989, 2(2):183-192[6]Hush D R, Sales J M. Improving the learning rate of back-propagation with the gradient reuse algorithm. IEEE International Conference on Neural Networks, San Diego, CA, U.S.A., July, 24-27,1988, Vol.1,441-449.[7]Stornetta W S, Huberman B A. An improved three layer, back-propagation algorithm. IEEE First International Conference on Neural Networks. San Diego, CA, U.S.A.: June, 21-24, 1987, Vol.2, 637-643.[8]Wessels L A, Barnard E, Avoiding false local miminna by proper initialization of connections. IEEE Trans. on Neural Networks, 1992, NN-3(6): 899-905.