Extracting -of- Rules from Trained Neural Networks
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[1] John E. Dennis,et al. Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.
[2] J. C. Schlimmer,et al. Concept acquisition through representational adjustment , 1987 .
[3] Raymond L. Watrous. Learning Algorithms for Connectionist Networks: Applied Gradient Methods of Nonlinear Optimization , 1988 .
[4] O. Mangasarian,et al. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[5] Sholom M. Weiss,et al. Computer Systems That Learn , 1990 .
[6] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[7] Sebastian Thrun,et al. The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .
[8] Arjen van Ooyen,et al. Improving the convergence of the back-propagation algorithm , 1992, Neural Networks.
[9] Roberto Battiti,et al. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method , 1992, Neural Computation.
[10] Randy Kerber,et al. ChiMerge: Discretization of Numeric Attributes , 1992, AAAI.
[11] Joachim Diederich,et al. Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..
[12] Rudy Setiono. A Neural Network Construction Algorithm which Maximizes the Likelihood Function , 1995, Connect. Sci..
[13] Huan Liu,et al. Chi2: feature selection and discretization of numeric attributes , 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.
[14] Huan Liu,et al. X2R: a fast rule generator , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[15] Huan Liu,et al. Symbolic Representation of Neural Networks , 1996, Computer.
[16] Rudy Setiono,et al. A Penalty-Function Approach for Pruning Feedforward Neural Networks , 1997, Neural Computation.