T. Nakashima

发表

A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems

H. Ishibuchi, T. Nakashima, T. Murata, 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

Input selection in fuzzy rule-based classification systems

H. Ishibuchi, T. Nakashima, T. Morisawa, 1997, Proceedings of 6th International Fuzzy Systems Conference.

GA-based approaches to linguistic modeling of nonlinear functions

Hisao Ishibuchi, Tomoharu Nakashima, T. Nakashima, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Learning of fuzzy reference sets in nearest neighbor classification

Hisao Ishibuchi, Tomoharu Nakashima, H. Ishibuchi, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

GA-based approaches for finding the minimum reference set for nearest neighbor classification

H. Ishibuchi, T. Nakashima, T. Nakashima, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Evolutionary algorithms for constructing linguistic rule-based systems for high-dimensional pattern classification problems

Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Simple fuzzy rule-based classification systems perform well on commonly used real-world data sets

Hisao Ishibuchi, Tomoharu Nakashima, Takehiko Morisawa, 1997, 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297).

Learning of neural networks with GA-based instance selection

Hisao Ishibuchi, Tomoharu Nakashima, M. Nii, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Iterative gradient descent approach to multiple regression with fuzzy data

A. Bargiela, T. Nakashima, W. Pedrycz, 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

A fuzzy genetics-based machine learning method for designing linguistic classification systems with high comprehensibility

Tomoharu Nakashima, H. Ishibuchi, T. Kuroda, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

A hybrid fuzzy genetics-based machine learning algorithm: hybridization of Michigan approach and Pittsburgh approach

H. Ishibuchi, T. Nakashima, T. Nakashima, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Performance evaluation of various variants of fuzzy classifier systems for pattern classification problems

H. Ishibuchi, T. Nakashima, T. Nakashima, 1997, 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297).

Effect of data weighting methods on the performance of fuzzy classification systems

A. Bargiela, H. Ishibuchi, Y. Yokota, 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.

Fuzzy association rules for handling continuous attributes

H. Ishibuchi, T. Nakashima, T. Nakashima, 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

Voting schemes for fuzzy-rule-based classification systems

H. Ishibuchi, T. Nakashima, T. Nakashima, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Fuzzy classification with reject options by fuzzy if-then rules

Hisao Ishibuchi, H. Ishibuchi, T. Nakashima, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

Evolution of fuzzy nearest neighbor neural networks

Hisao Ishibuchi, Tomoharu Nakashima, H. Ishibuchi, 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).