Decreasing Excess Fuzziness Included in Fuzzy Output Vectors from Neural Networks
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Hisao Ishibuchi | M. Nii | K. Tanaka | H. Ishibuchi | M. Nii | K. Tanaka | Kimiko Tanaka
[1] J. Dunyak,et al. A training technique for fuzzy number neural networks , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[2] Hisao Ishibuchi,et al. Fuzzy regression analysis by neural networks with non-symmetric fuzzy number weights , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[3] T. Feuring,et al. Learning in fuzzy neural networks , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[4] Hisao Ishibuchi,et al. Generating fuzzy if-then rules from trained neural networks: linguistic analysis of neural networks , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[5] Hisao Ishibuchi,et al. Learning by fuzzified neural networks , 1995, Int. J. Approx. Reason..
[6] Kevin D. Reilly,et al. Genetic learning algorithms for fuzzy neural nets , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[7] Hisao Ishibuchi,et al. Neural networks that learn from fuzzy if-then rules , 1993, IEEE Trans. Fuzzy Syst..
[8] James J. Buckley,et al. Fuzzy neural network with fuzzy signals and weights , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[9] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[10] Halbert White,et al. Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings , 1990, Neural Networks.
[11] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[12] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[13] Hisao Ishibuchi,et al. Generating Fuzzy Classification Rules from Trained Neural Networks , 1997 .
[14] Hisao Ishibuchi,et al. Interpolation of fuzzy if-then rules by neural networks , 1994, Int. J. Approx. Reason..
[15] Ramon E. Moore. Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.