國立台灣科技大學 資訊工程系所

智慧型系統實驗室


研 究 資 源


Neural

Tutorial/Servey


Tutorial:
1.
Xin Yao,
"Evolving Artificial Neural Networks",
Proceedings of the IEEE, Volume: 87, No.9 , Sept. 1999 , Page(s): 1423 -1447

2.
Ribert, A.; Stocker, E.; Lecourtier, Y.; Ennaji, A.,
"A survey on Supervised Learning by Evolving Multi-Layer Perceptrons",
Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on , 1999 , Page(s): 122 -126

3.
R.P. Lippmann,
" An Introduction to Computing with Neural Networks",
IEEE Accoust. Speech Signal Process, 4(2), 4-22, 1987.

4.
J.M Zurada,
" Introduction to Artificial Neural Systems",
West Publishing, 1992.

5.
IEEE Spectrum
1993 June: Neural Networks at work
1993 July: Working with Neural Network

6.
CACM, March 1994
Basic idea in Neural Network
Neural Networks: Application in Industry, Business and Science
Neural Network in Japan


Survey:

1.
Anderson and Rosenfeld, Neurocomputing,
MIT, 1988.

2.
Neural Networks at work,
June 1993, IEEE Spectrum.

3.
Working with neural networks,
July 1993, IEEE Spectrum.

4.
The basic idea in neural networks; Neural Networks: Applications in Industry, Business, and Science;
Neural Networks in Japan, March 1994, CACM.

5.
Everyday Applications of Neural Networks,
July 1997, IEEE Trans. On Neural Networks.

6.
Neural Networks and Hybrid Intelligent Models: Foundations, theory, and Applications,
Sept. 1998, IEEE Trans. On Neural Networks.

7.
Artificial Neural Networks to Systems, Man, and Cybernetics: Characteristics, Structures, and Applications,
August 1998, IEEE Trans. On SMC part B.

8.
Neural networks in business: a survey of applications(1992-1998),
pp. 51-70, vol. 17, 1999, Expert Systems with Applications.

9.
G.P. Zhang,
"Neural Networks for Classification: A Survey",
IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews,Vol.30,no.4,Nov. 2000, PP451-462.

10.
R. Rengaswamy, D. Mylaraswamy, K.-E,
"A comparison of model-based and neural network-based diagnostic methods",
Engineering Applications of Artificial Intelligence, Vol 14, Issue 6, Dec-2001

11.
S. Kenig, A. Ben-David, M. Omer, A. Sadeh,
"Control of properties in injection molding by neural networks",
Engineering Applications of Artificial Intelligence, Vol 14, Issue 6, Dec-2001

12.
"A short-term temperature forecaster based on a state space neural network",
Engineering Applications of Artificial Intelligence, Volume 15, Issue 5, Sep-2002

13.
K.N. Papamichail, S. French,
"Explaining and justifying the advice of a decision support system: a natural language generation approach",
Expert Systems with Applications, Volume 24, Issue 1, Jan-2003

14.
K.-j. Kim, I. Han,
"Application of a hybrid genetic algorithm and neural network approach in activity-based costing",
Expert Systems with Applications, Volume 24, Issue 1, Jan-2003

Applications


1. Richard P. Lippmann, " Pattern Classification Using Neural Networks," IEEE
Communications Magazine, pp.47-64, November 1989.

2. M. Nadler and E.P. Smith," Pattern Recognition Engineering," A Wiley-
Interscience Publication, John Wiley & Sons Inc., New York, NY, USA, 1993.

3. " An Analysis of Premative Saturation in Back Propagation Learning," Neural
Networks, vol. 6, pp. 719-728, 1993.

4. L. Holmstom et al.," Neural and Statistical Classifiers-Taxonomy and Two
Case Studies," Special Issue on Artificial Neural Network and Statistical
Pattern Recognition, IEEE Transactions on Neural Networks, 8(1), pp. 5-17,
Jan. 1997.

5. T. Honkela et al.," WEBSOM--Self-Organizing Maps of Document Collections,"
Proceedings of WSOM'97, Espoo, Finland, June 1997,
http://websom.hut.fi/websom/
http://www.ics.hut.fi/wsom97/progabstracts./51.html

6. S. Kaski, T. Honkela, K. Lagus, and T. Kohonen," WEBSOM--Self-Organizing
Maps of Document Collections," Neurocomputing, Vol. 21, pp. 101-117, 1998.

7. Kohonen et al.,"Self orginization of a massive documet collection",IEEE
Trans. on Neural Networks,Vol. 11 No.3 , May. 2000.

8. T.Sawaragi and Y.Horiguchi, "Ecological Interface Enabling Human-Embodiedied
Cognition in Mobile Robot Teleoperation, "ACM Intelligence, Fall 2000, pp20-
32.(Identifying a Human Performing Tash Structure Using the ART Model.)

9. S.C. Huang and Y.F. Huang, "Bounds on the # of Hidden Neurons in Multilayer
Perceptrons, "IEEE Trans. on Neural Networks, Vol.2, No.1 , pp.47-55, 1991

10. Juha Vesanto and Esa Alhoniemi. “Clustering of the Self-Organizing Map”, IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 11, NO. 3, MAY 2000

11. Sung-Bae Cho, “Incorporating Soft Computing Techniques Into a Probabilistic Intrusion Detection System”, IEEE Transactions on Systems, Man, and Cybernetics, Part C vol. 32,no. 2,pp. 154-160, May 2002

12. Lee, S.C. Heinbuch, D.V., “Training a neural-network based intrusion detector to recognize novel attacks”, IEEE Transactions on Systems, Man and Cybernetics, Part A, Vol. 31,pp. 294 – 299, July 2001

13. Mukkamala, S. Janoski, G. Sung, A., ”Intrusion detection using neural networks and support vector machines”, Proceedings of the 2002 International Joint Conference on Neural Networks, (IJCNN '02), IEEE, pp. 710 – 715, May 2002

14. Ronan Collobert and Samy Bengio, "Support vector machines for large-scale regression problems,"Machine Learning Research, 1:143-160, 2001

15. Jackson, A.“Genetic Algorithms for Use in Financial Problems”AFIR Vol 2,page(s): 481-503, 1997

16. Wendt, R. Q., “Build Your own GA Efficient Frontier”, Risks and Rewards, page(s): 1-5, December 1995

17. Lowe, D., ”Novel Exploitation of Neural Network Methods in Financial Markets”, IEEE International Conference on Neural Networks 6, page(s): 3623-3628, 27 June-2 July 1994

18. Kuo, R.J.; Chen, C.H.; Hwang, Y.C., ”An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network”, Fuzzy Sets and Systems Volume: 118, Issue: 1, Page(s): 21-45., February 16, 2001

19. Fan, A. ; Palaniswami, M.,“Stock selection using support vector machines”, IEEE Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on page(s): 1793-1798 vol.3, 2001

20. Baba, N.; Kozaki, M., “An intelligent forecasting system of stock price using neural networks”, Neural Networks, 1992. IJCNN., International Joint Conference on , Volume: 1 , 7-11 June 1992
Page(s): 371 -377 vol.1, 1992

21. Baba, N.; Inoue, N.; Asakawa, H., “Utilization of neural networks and GAs for constructing reliable decision support systems to deal stocks”, Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on , Volume: 5 , 24-27 July 2000
Page(s): 111 -116 vol.5, 2000

Special Issue


1. Special Issue: " VC learning Theory and its Application," IEEE Trans. on
Neural Networks, Vol. 10, No. 5, Sept. 1999.

2. The Special Issue on Neural Networks for Data Mining and Knowledge Discovery:
IEEE TRANSACTIONS ON NEURAL NETWORKS,VOL.11,NO.3,JUNE 2000