1 |
P. Simpson, 'Fuzzy min-max neural networks-Part 1: Classification,' IEEE Trans., Neural Networks, Vol.3, pp. 776-786, 1992
DOI
ScienceOn
|
2 |
H.-M. Lee, K.-H. Chen and I-F. Jiang, 'A Neural Networks with Disjunctive Fuzzy Information,' Neural Networks, Vol. 11, pp. 1113-1125, 1998
DOI
ScienceOn
|
3 |
K. Tanaka, M. Sano and H. Watanabe, 'Modeling and Control of Carbon Monoxide Concentration Using a Neuro-Fuzzy technique,' IEEE Trans., Fuzzy Systems, Vol.3, pp.271-279, June, 1995
DOI
ScienceOn
|
4 |
C. Z. Ye, J. Yang, D. Y. Geng, y. Zhou, N. Y. Chen, Fuzzy Rules to Predict Degree of Malignancy in Brain Glioma, Medical and Biological Engineering and Computing, Vol.40, 2002
|
5 |
S. Wang and C. S. G. Lee, 'Self-Adaptive Neuro-Fuzzy Inference System for Classification Applications,' IEEE Trans., Fuzzy Systems, Vol. 10, No.6, pp.790-802, 2002
DOI
ScienceOn
|
6 |
W. Wolberg, O. Mangasarian, 'Multi surface Method of Pattern for Medical Diagnosis Applied to Breast Cytology,' Prac. National Academy of Sciences, Vol.87, pp.9193-9166, 1990
DOI
ScienceOn
|
7 |
R. Jang, 'ANFIS: Adaptive network-based fuzzy inference system,' IEEE Trans. Syst., Man, Cybern., Vol. 23, pp.665- 685, May-June, 1993
DOI
ScienceOn
|
8 |
Ho J. Kim, Tae W. Ryu, Thai T. Nguyen, Ioon S. Lim, and Sudhir Gupta, 'A Modified Fuzzy Min-Max Neural Network for Pattern Classification,' Computational Science and Its Applications ICCSA 2004 (LNCS 3046), pp.792-798, Springer-Verlag, 2004
|
9 |
A. F. Gomez -Skarmeta, M. V. F. Jimenez, J. G. Marin -Blazques, 'Approximative Fuzzy Rules Approaches for Classification with Hybrid-Gs, Techniques,' Informaion Sciences, Vol. 136, pp.193-214, 2001
DOI
ScienceOn
|
10 |
G. A. Carpenter, S. Grossberg and J. Reynolds, 'ARTMAP: Supervised real-time learning and classification of non stationary data by a self-organizing neural network,' Neural Networks, Vol. 4, pp.565-588, 1991
DOI
ScienceOn
|
11 |
Joon Shik Lim, 'Finding Fuzzy Rules by Neural Network with Weighted Fuzzy Membership Function,' International Journal of Fuzzy Logic and Intelligent Systems, Vol. 4, No.2, pp.211-216, September, 2004
|
12 |
M. Setnes and H. Roubos, 'GA-Fuzzy Modeling and Classification : Complexity and Performance,' IEEE Trans., Fuzzy Systems, Vol.8, No.5, pp.509-522, 2000
DOI
ScienceOn
|
13 |
H. Ishibuchi and T. Nakashima, 'Voting in Fuzzy Rule-Based Systems for Pattern Classification Problems,' Fuzzy Sets and Systems, Vol. 103, pp.223-238, 1999
DOI
ScienceOn
|
14 |
T. Kasuba, 'Simplified Fuzzy ARTMAP,' IEEE AI Expert, pp.19-25, Nov., 1993
|
15 |
D. Nauck and R. Kruse, 'A Neuro-Fuzzy Method to Learn Fuzzy Classification Rules from Data,' Fuzzy Sets and Systems, Vol. 89, pp.277-288, 1997
DOI
ScienceOn
|
16 |
N. Kasabov, Foundation of Neural Networks, Fuzzy Systems and Knowledge Engineering, The MIT Press, Cambridge, MA, 1996
|
17 |
C. T. Lin and C. S. George Lee, 'Neural-network-based fuzzy logic control and decision systern,' IEEE Trans. Computers, Vol. 40, No.12, Dec., 1991
|
18 |
C. F. Juang and C. T. Lin, 'An On-Line Self-Constructing Neural Fuzzy Inference Network and Its Applications,' IEEE Trans. Fuzzy Systems, Vol. 6, No.1, pp.12-32, 1998
DOI
ScienceOn
|