| Neuro-fuzzy and soft computing-a computational approach to learning and machine intelligence [Book Review] JSR Jang, CT Sun, E Mizutani IEEE Transactions on automatic control 42 (10), 1482-1484, 1997 | 13311 | 1997 |
| Neuro-fuzzy and soft computing-a computational approach to learning and machine intelligence JSR Jang, CT Sun, E Mizutani, YC Ho Proceedings of the IEEE 86 (3), 600-603, 1998 | 183 | 1998 |
| Neuro-fuzzy and soft computing E Mizutani, JSR Jang, CT Sun Eastern Economy Edition, 1997 | 145 | 1997 |
| Levenberg-Marquardt method for ANFIS learning JSR Jang, E Mizutani Proceedings of North American Fuzzy Information Processing, 87-91, 1996 | 127 | 1996 |
| Coactive neural fuzzy modeling E Mizutani, JSR Jang Proceedings of ICNN'95-International Conference on Neural Networks 2, 760-765, 1995 | 104 | 1995 |
| Fuzzy inference systems JSR Jang, CT Sun, E Mizutani Neuro-fuzzy and soft computing: a computational approach to learning and …, 1997 | 84 | 1997 |
| Neuro-fuzzy and soft computing JS Roger, S Chuen-Tsai, M Eiji NJ: Printice Hall, Upper Saddle River, 1997 | 69 | 1997 |
| On derivation of MLP backpropagation from the Kelley-Bryson optimal-control gradient formula and its application E Mizutani, SE Dreyfus, K Nishio Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 66 | 2000 |
| On complexity analysis of supervised MLP-learning for algorithmic comparisons E Mizutani, SE Dreyfus IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 63 | 2001 |
| Neuro-fuzzy and soft computing. Matlab Curriculum Series JSR Jang, CT Sun, E Mizutani Prentice Hall, 1997 | 62 | 1997 |
| A computational approach to learning and machine intelligence JSR Jang, CT Sun, E Mizutani, S Computing IEEE Transactions on automatic control 42 (10), 1482-1484, 1997 | 51 | 1997 |
| Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature E Mizutani, SE Dreyfus Neural Networks 21 (2-3), 193-203, 2008 | 41 | 2008 |
| On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning E Mizutani, JW Demmel Neural Networks 16 (5-6), 745-753, 2003 | 35 | 2003 |
| Methods and apparatus for color device characterization K Nishio, E Mizutani US Patent 7,180,629, 2007 | 34 | 2007 |
| Evolving color recipes E Mizutani, H Takagi, DM Auslander, JSR Jang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2000 | 32 | 2000 |
| Fuzzy fitness assignment in an interactive genetic algorithm for a cartoon face search K Nishio, M Murakami, E Mizutani, N Honda Genetic algorithms and fuzzy logic systems: Soft computing perspectives, 175-192, 1997 | 32 | 1997 |
| Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning E Mizutani IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 28 | 1999 |
| Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings E Mizutani, SE Dreyfus 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 20 | 2004 |
| MLP's hidden-node saturations and insensitivity to initial weights in two classification benchmark problems: parity and two-spirals E Mizutani, SE Dreyfus Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 20 | 2002 |
| Neural networks and fuzzy systems: a computational approach to learning and machine intelligence JR Jang, CT Sun, E Mizutani Prentice-Hall, 1997 | 20* | 1997 |
Stuart DreyfusProfessor Emeritus of Industrial Engineering and Operations Research, University of California在 berkeley.edu 的电子邮件经过验证
