References
References
[1] A. F. Clark and M. Kokuer, "Feature Identification and Model Tracking for Model-Based Coding," 11th International Conference on Pattern Recognition, vol. III: Conference C, 1992, pp. 79-82.
[2] J. Crowley, "A Local Feature Based Human Face Recognition System," Intelligent Information Systems, 1994 Conference, pp. 32-36.
[3] K. R. Castleman, Digital Image Processing. Prentice Hall, Inc., Saddle River, NJ, 1996.
[4] DSP Pictomanics, "Pattern Matching," Rice University ELEC 431 project, 1996, http://www.owlnet.rice.edu/~elec431/projects96/pictomaniacs/DSP.html
[5] Y.H. Pao, Adaptive Pattern Recognition and Neural Networks, Addison Wesley, 1989.
[6] Y. Takefuji, Neural Network Parallel Computing, Kluwer Academic Publishers, 1992.
[7] K. Hornik, M. Stinchcombe, H. White, "Multilayer feedforward networks are universal approximators", Neural Networks, Vol. 2, pp. 359-366.
[8] G. Cybenko, "Approximation by superpositions of a sigmoidal function", University of Illinois at Urbana-Champaign, Department of Electrical Engineering and Computer Engineering, Technical Report No. 856.
[9] D. Sobajic, Artificial Neural Networks for Transient Stability Assessment of Electrical Power Systems, Case Western Reserve University, August 1988.
[10] D. Lee, Adaptive Pattern Recognition Approach for Dynamic System Control using Neural Networks, Case Western Reserve University, May 1991.
[11] G. Zwingelstein, Learning Neural-Net Representations of Nonlinear Dynamic Processes with the Functional Link Net, Case Western Reserve University, May 1990.
[12] D. Rumelhart, G. Hinton, R. Williams, "Learning internal representations by error propagation", D. Rumelhart and J. McClelland (eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, MIT Press, Cambridge, MA, pp. 318-362.
[13] M. Hestenes, E. Steifel, "Methods of conjugate gradients for solving linear systems", Nat. Bur. Std. Report, No. 1659, 1952.
[14] B. Gottfried, J. Weisman, Introduction to Optimization Theory, Prentice-Hall, 1973.
[15] T. Dorney, Learned Adaptive Environment Control Using Artificial Neural Networks and Fuzzy Logic, Case Western Reserve University, May 1992.
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