INFORMATION MATRIX AND APPLICATION*
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[1] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[2] Yasuo Matsuyama,et al. Fast /spl alpha/-weighted EM learning for neural networks of module mixtures , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[3] Bart Kosko,et al. Fuzzy Engineering , 1996 .
[4] James C. Bezdek,et al. On the relationship between neural networks, pattern recognition and intelligence , 1992, Int. J. Approx. Reason..
[5] Alberto Tesi,et al. On the Problem of Local Minima in Backpropagation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Chongfu Huang,et al. Demonstration of benefit of information distribution for probability estimation , 2000, Signal Process..
[7] Yee Leung,et al. A NEW ALGORITHM FOR ESTIMATING THE RISK OF NATURAL DISASTERS WITH INCOMPLETE DATA , 2000 .
[8] Pei-Zhuang Wang,et al. A factor spaces approach to knowledge representation , 1990 .
[9] Huang Chong-fu,et al. Demonstration of benefit of information distribution for probability estimation , 2000 .
[10] Georg Dorffner,et al. Neural Networks for Time Series Processing , 1996 .
[11] Iteratively reweighted least squares based learning , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[12] Z.-R. Liu,et al. Information distribution method relevant in fuzzy reasoning , 1990 .
[13] Yoshua Bengio,et al. Pattern Recognition and Neural Networks , 1995 .
[14] Patrick van der Smagt. Minimisation methods for training feedforward neural networks , 1994, Neural Networks.
[15] Huang Chong-fu,et al. Principle of information diffusion , 1997 .
[16] Loren Enochson,et al. Digital Time Series Analysis. , 1972 .
[17] G. Berlin. Earthquakes and the urban environment , 1980 .
[18] Songwu Lu,et al. Robust nonlinear system identification using neural-network models , 1998, IEEE Trans. Neural Networks.