Identification of nonlinear characteristics in cushioning packaging using genetic evolutionary neural networks

[1]  Abraham Kandel,et al.  Efficient Genetic Algorithms for Training Layered Feedback Neural Networks , 1994, Inf. Sci..

[2]  Liang Yanchun,et al.  CONVERGENCE ANALYSIS OF AN EQUIVALENT GENETIC ALGORITHM BASED ON EXTENDED STRINGS , 1997 .

[3]  Yanchun Liang,et al.  IDENTIFICATION OF RESTORING FORCES IN NON-LINEAR VIBRATION SYSTEMS BASED ON NEURAL NETWORKS , 1997 .

[4]  David B. Fogel,et al.  An introduction to simulated evolutionary optimization , 1994, IEEE Trans. Neural Networks.

[5]  Liang Yanchu OPTIMIZATION OF ROSENBROCK'S FUNCTION BASED ON GENETIC ALGORITHMS , 1997 .

[6]  Hiroaki Kitano,et al.  Empirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms , 1990, AAAI.

[7]  Yanchun Liang,et al.  Identification of non-linearities in cushioning packaging using neural networks with fuzzy adaptive control , 1997 .

[8]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[9]  S. Masri,et al.  Identification of Nonlinear Dynamic Systems Using Neural Networks , 1993 .

[10]  Yanchun Liang,et al.  Application of neural networks to identification of nonlinear characteristics in cushioning packaging , 1996 .

[11]  王政,et al.  A STUDY OF IDENTIFICATION OF NONLINEAR CHARACTERISTICS IN CUSHIONING PACKAGING BASED ON NEURAL NETWORKS , 1997 .

[12]  Toby Walsh,et al.  Proceedings of AAAI-96 , 1996 .

[13]  Sankar K. Pal,et al.  Selection of Optimal Set of Weights in a Layered Network Using Genetic Algorithms , 1994, Inf. Sci..

[14]  S. Ergezinger,et al.  An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer , 1995, IEEE Trans. Neural Networks.