Root finding and approximation approaches through neural networks
暂无分享,去创建一个
[1] R. W. Dobbins,et al. Computational intelligence PC tools , 1996 .
[2] De-Shuang Huang,et al. A Neural Root Finder of Polynomials Based on Root Moments , 2004, Neural Computation.
[3] Joydeep Ghosh,et al. The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[4] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[5] Joydeep Ghosh,et al. Ridge polynomial networks , 1995, IEEE Trans. Neural Networks.
[6] Vassilis P. Plagianakos,et al. Parallel evolutionary training algorithms for “hardware-friendly” neural networks , 2002, Natural Computing.
[7] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[8] Michael N. Vrahatis,et al. Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.
[9] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[10] Zheru Chi,et al. Neural networks with problem decomposition for finding real roots of polynomials , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).
[11] W. B. Gearhart,et al. Deflation techniques for the calculation of further solutions of a nonlinear system , 1971 .
[12] Dimitris K. Tasoulis,et al. Determining the number of real roots of polynomials through neural networks , 2006, Comput. Math. Appl..