Roger Jang's Publications, Slides, and Softwares


A. Book and Dissertation
  1. 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.
  2. 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
  1. 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.
  2. 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.
  3. 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.
  4. 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.)
  1. `` Collecting/Organizing Web Info Using Perl,'' a tutorial given at the Workshop on Network Computing, Tsing Hua Univ., April. 1998
  2. `` Scientific Visualization in MATLAB,'' a tutorial given at CS Dept., Tsing Hua Univ., Nov. 1996
  3. `` Neuro-Fuzzy and Soft Computing,'' a tutorial given at the Asian Fuzzy Systems Symposium, Dec. 1996
  4. `` Neuro-Fuzzy Modeling for Dynamical System Identification,'' a talk given at the Asian Fuzzy Systems Symposium, Dec. 1996
D. Softwares
  1. 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.)
  2. 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.)
  3. 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
  1. 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)
  2. 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.
  3. 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.
  4. 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.
  5. J.-S. R. Jang, ``Fuzzy Controller Design without Domain Experts,'' in Proc. of IEEE international conference on fuzzy systems, Mar. 1992.
  6. 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.
  7. 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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