determining model structure for neural models by network stripping
暂无分享,去创建一个
[1] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[2] Masafumi Hagiwara. Novel backpropagation algorithm for reduction of hidden units and acceleration of convergence using artificial selection , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[3] Michael C. Mozer,et al. Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment , 1988, NIPS.
[4] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[5] T. McAvoy,et al. Interpreting biosensor data via backpropagation , 1989, International 1989 Joint Conference on Neural Networks.
[6] S. Y. Kung,et al. An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning , 1988, IEEE 1988 International Conference on Neural Networks.
[7] Ritei Shibata,et al. 6 Various model selection techniques in time series analysis , 1985 .
[8] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[9] N. V. Bhat,et al. Use of neural nets for dynamic modeling and control of chemical process systems , 1990 .
[10] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[11] G. Schwarz. Estimating the Dimension of a Model , 1978 .