Learning experiments with genetic optimization of a generalized regression neural network
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[1] H. J. Einhorn. The use of nonlinear, noncompensatory models in decision making. , 1970, Psychological bulletin.
[2] M.H. Hassoun,et al. Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.
[3] Wooju Kim,et al. UNIK-OPT/NN Neural network based adaptive optimal controller on optimization models , 1996, Decis. Support Syst..
[4] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[5] Timothy Masters,et al. Practical neural network recipes in C , 1993 .
[6] John W. Payne,et al. Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .
[7] Robert Libby,et al. Accounting and human information processing : theory and applications , 1981 .
[8] D. O'Leary,et al. Expert Systems in Finance , 1992 .
[9] Philip D. Wasserman,et al. Advanced methods in neural computing , 1993, VNR computer library.
[10] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[11] Barr and Feigenbaum Edward A. Avron. The Handbook of Artificial Intelligence , 1981 .
[12] Jordan J. Louviere,et al. ON THE SENSITIVITY OF BRAND‐CHOICE SIMULATIONS TO ATTRIBUTE IMPORTANCE WEIGHTS , 1981 .
[13] Gary J. Koehler,et al. Linear Discriminant Functions Determined by Genetic Search , 1991, INFORMS J. Comput..
[14] Halbert White,et al. Learning in Artificial Neural Networks: A Statistical Perspective , 1989, Neural Computation.
[15] H. J. Einhorn,et al. Linear regression and process-tracing models of judgment. , 1979 .
[16] Umesh V. Vazirani,et al. An Introduction to Computational Learning Theory , 1994 .
[17] Sholom M. Weiss,et al. An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods , 1989, IJCAI.
[18] Sholom M. Weiss,et al. Computer Systems That Learn , 1990 .
[19] B. Efron. Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation , 1983 .
[20] John H. Holland,et al. Distributed genetic algorithms for function optimization , 1989 .
[21] R. Dawes. Judgment under uncertainty: The robust beauty of improper linear models in decision making , 1979 .