Simulation and Computational Intelligence in Real-World Applications

Abstract

Many real-world applications of computational intelligence (CI) start with a good training simulator. Enhancing the simulator to use many human senses and to facilitate collection and analysis of data may produce an intelligent virtual reality (VR) system. Careful design of a VR system may encourage the use of "hooks" to allow collection of data, conversion to meaningful informatian, and incorporation of intelligence into later versions and into the final, real-world product. This paper will illustrate these concepts by discussing the challenges of autonomous flight, from simulation to implementation. Fuzzy risk analysis is suggested as a performance evaluation tool for design of CI systems, here defined as systems incorporating artificial neural networks (NN), fuzzy systems, (FZ) evolutionary systems (EC) and/or virtual reality (VR). Intelligent virtual simulation is a tool of the future which promises to move from an intriguing pastime for gamers to a rigorously applied scientific discipline offering economic advantages and service to those working in applications ranging from training simulators to accessibility aids for the handicapped. To participate in interest groups or standards activities, or to obtain additional information about simulation-oriented resources for CI development, contact mpadgett@eng.auburn.edu.

Keywords

artificial neural networks fuzzy systems evolutionary systems virtual reality computational intelligence fuzzy risk analysis robotics

Get full access to this article

View all access options for this article.

References

Chand, S. and S.L. Chiu , "Special Issue on Fuzzy Logic with Engineering Applications," Proc. IEEE, vol 83, no 3, Mar. 1995.

Cooper, A. "The Application of Fuzzy Algebra to Safety Assessment", CRC Harldbook on Industrial Electronics, CRC Press and IEEE Press, 1996.

Dai, Han-Sen , System identification using neural networks ,

Dubois, D. , H. Prade , and R.R. Yager , Readings in Fuzzy Sets for Intelligent Systems, Morgan Kaufmann , 1993.

Fogel, D.B. Evolutionary Computation, IEEE Press, 1995.

Irwin, J. D. (Ed) The Industrial Electronics Handbook, CRC Press, Inc. and IEEE , 1996.

Gupta, M.M. and A.Kaufmann , Introduction to Fuzzy Arithmetic, Theory and Applications. Van Nostrand Press, 1991.

Klein, L.A. Sensor and data fusion concepts and applications. TT14. SPIE, 1993.

Padgett, M.L. and W.J. Karplus , "Neural Network Basics: Applications, Examples and Standards, " IJCNN 93 - Nagoya Tutorial Proceedings. pp. 385-412, 1992.

10.

Padgett, M.L. and T.A. Roppel. "Neural Networks and simulation: modeling for applications," SIMULATION, vol 58, no 5, pp. 295-305, 1992.

11.

Pratt, D.R. , M. Zyda , K. Kelleher , "Special Issue on Virtual Environments ," Computer, V.28, N. 7, July 1995.

12.

Rogers, S.K. and M. Kabrisky. An introduction to biological and artificial neural networks for pattern recognition, TT4, SPIE, 1991 .

13.

Sanchez-Sinencio, E. and C. Lau , Artificial Neural Networks Paradigms, Applications, and Hardware Implementations, IEEE Press , 1992.

14.

Smith, M. , Neural Networks for Statistical Modeling, Van Nostrand , 1992.

15.

Sugeno, M. , H. Winston , I. Hirano , S. Kotsu , "Intelligent Control of an Unmanned Helicopter Based on Fuzzy Logic ," American Helicopter So. 51st Ann. Forum, Ft. Worth, TX, May 9-11, 1995.

16.

Vemuri, V.R. (ed.), Artificial Neural Networks: concepts and control applications. IEEE-CS ,1992.

17.

Yager, R.R. and D.P. Filev , Essentials of Fuzzy Modeling and Control, Wiley , 1995.

18.

Zadeh, Lotfi. Personal communication suggesting Machine Intelligence Quotient (MIQ) as a standard performance measure for CI systems, 1995 (zadeh@cs.berkeley.edu).

19.

Zhang, Z. and K.J. Hintz , "Evolving Neural Networks for Video Attitude and Height," Sensor, Signal Processing, Sensor Fusion and Target Recognition IV Proceedings, SPIE Aerospace Sensing, 95

Orlando, FL

1995 (in press).

20.

Zhang, Y.-Q. , W. Li and M.L. Liou , Special Issue on Advances in Image and Video Compression," Proceedings of the IEEE, vol 83, no 2, Feb. 1995.