Roger Jang's
Publications, Slides, and Softwares
A. Book and Dissertation
- J.-S. R. Jang, C.-T. Sun, and E. Mizutani,
``
Neuro-Fuzzy and Soft Computing:
A Computational Approach to Learning and Machine Intelligence,''
Prentice Hall, 1996.
- J.-S. R. Jang,
``
Neuro-Fuzzy Modeling: Architectures, Analyses, and Applications,''
Ph.D. Dissertation, EECS Department, Univ. of California at Berkeley,
1992.
B. Journal Papers
- J.-S. R. Jang and C.-T. Sun,
``
Neuro-Fuzzy Modeling and Control,''
The Proceedings of the IEEE,
vol. 83, pp. 378-406, Mar. 1995.
- J.-S. R. Jang,
``
ANFIS: Adaptive-Network-based Fuzzy Inference Systems,''
IEEE Trans. on Systems, Man, and Cybernetics,
vol. 23, pp. 665-685, May 1993.
- J.-S. R. Jang and C.-T. Sun,
``
Functional Equivalence Between Radial Basis Function Networks and
Fuzzy Inference Systems,''
IEEE Trans. on Neural Networks,
vol. 4, pp. 156-159, Jan. 1993.
- J.-S. R. Jang,
``
Self-Learning Fuzzy Controller Based on Temporal Back-Propagation,''
IEEE Trans. on Neural Networks, vol. 3, pp. 714-723, Sept. 1992.
C. Slides (All are self-extracting PowerPointer files.)
-
``
Collecting/Organizing Web Info Using Perl,''
a tutorial given at the Workshop on Network Computing,
Tsing Hua Univ., April. 1998
-
``
Scientific Visualization in MATLAB,''
a tutorial given at CS Dept., Tsing Hua Univ., Nov. 1996
-
``
Neuro-Fuzzy and Soft Computing,''
a tutorial given at the Asian Fuzzy Systems Symposium, Dec. 1996
-
``
Neuro-Fuzzy Modeling for Dynamical System Identification,''
a talk given at the Asian Fuzzy Systems Symposium, Dec. 1996
D. Softwares
- J.-S. R. Jang and N. Gulley,
``The Fuzzy Logic Toolbox for use with MATLAB,''
The MathWorks, Inc., Natick, Massachusetts, 1995.
(Click here
for more info about the toolbox.)
- J.-S. R. Jang,
``ANFIS,'' 1991.
(This is the public-domain ANFIS code, which was used to obtain the
simulation results in the ANFIS paper listed above.)
- J.-S. R. Jang,
``Fuzzy Demos,'' 1993.
(This is a collection of simple M-files to show animation of
membership functions and parameter identification in
fuzzy inference systems.)
D. Selected Conference Papers
- J.-S. R. Jang,
``Input Selection for ANFIS Learning,''
in Proceedings of the IEEE International Conference on
Fuzzy Systems, New Orleans, 1996.
(Compressed postscript file,
MATLAB scripts for simulation)
- J.-S. R. Jang,
``Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for
Noise Cancellation,'' in
Proceedings of the International Joint Conference of
CFSA/IFIS/SOFT 1995,
W. Chiang and J. Lee, eds.,
(Singapore), pp. 127-132, World Scientific, 1995.
- J.-S. R. Jang,
``
Structure Determination in Fuzzy Modeling: A Fuzzy CART Approach,''
in Proc. of IEEE international conference on fuzzy systems,
(Orlando, Florida), June 1994.
- J.-S. R. Jang and C.-T. Sun,
``Predicting Chaotic Time Series with Fuzzy If-Then Rules,''
in Proc. of IEEE international conference on fuzzy systems,
(San Francisco), Mar. 1993.
- J.-S. R. Jang,
``Fuzzy Controller Design without Domain Experts,''
in Proc. of IEEE international conference on fuzzy systems,
Mar. 1992.
- J.-S. R. Jang,
``Fuzzy Modeling Using Generalized Neural Networks and kalman
Filter Algorithm,''
in Proc. of the Ninth National Conference on
Artificial Intelligence (AAAI-91),
pp. 762-767, July 1991.
- J.-S. R. Jang,
``Rule Extraction Using Generalized Neural Networks,''
in Proc. of the 4th IFSA World Congress,
pp. 82-86 (in the Volume for Artificial Intelligence), July 1991.
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