Lane, S. H., Handelman, D. A., and Gelfand, J. J. (1992). "Theory and Development of Higher Order CMAC Neural Networks," IEEE Control Systems Magazine, April 1992, 23-30.

Lang, K. J. and Witbrock, M. J. (1989). "Learning to Tell Two Spirals Apart," Proceedings of the 1988 Connectionists Models Summer Schools (Pittsburgh 1988), D. Touretzky, G. Hinton, and T. Sejnowski, Editors, 52-59. Morgan Kaufmann, San Mateo.

Lapedes, A. S. and Farber, R. (1987). "Nonlinear Signal Processing Using Neural Networks: Prediction and System Modeling," Technical Report, Los Alamos National Laboratory, Los Alamos, New Mexico.

Lapedes, A. and Farber, R. (1988). "How Neural Networks Works," in Neural Information Processing Systems (Denver 1987), D. Z. Anderson, Editor, 442-456. American Institute of Physics, New York.

Lapidus, L. E., Shapiro, E., Shapiro, S., and Stillman, R. E. (1961). "Optimization of Process Performance," AICHE Journal, 7, 288-294.

Lawler, E. L. and Wood, D. E. (1966). "Branch-and-bound methods: A Survey," Operations Research, 14(4). 699-719.

Lay, S.-R. and Hwang, J.-N. (1993). "Robust Construction of Radial Basis Function Networks for Classification," in Proceedings of the IEEE International Conference on Neural Networks (San Francisco 1993), vol. III, 1859-1864. IEEE, New York.

Le Cun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., and Jackel, L. D. (1989). "Backpropagation Applied to Handwritten Zip Code Recognition," Neural Computation, 1(4), 541-551.

Le Cun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., and Jackel, L. D. (1990). "Handwritten Digit Recognition with a Backpropagation Network," in Advances in Neural Information Processing Systems 2 (Denver 1989), D. S. Touretzky, Editor, 396-404. Morgan Kaufmann, San Mateo.

Le Cun, Y., Kanter, I., and Solla, S. A. (1991a). "Second Order Properties of Error Surfaces: Learning Time and Generalization," in Advances in Neural Information Processing Systems 3 (Denver 1990), R. P. Lippmann, J. E. Moody, and D. S. Touretzky, Editors, 918-924. Morgan Kaufmann, San Mateo.

Le Cun, Y., Kanter, I., and Solla, S. A. (1991b). "Eigenvalues of Covariance Matrices: Application to Neural Network Learning," Phys. Rev. Lett., 66, 2396-2399.

Le Cun, Y., Simard, P. Y., and Pearlmutter, B. (1993). "Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors," in Advances in Neural Information Processing Systems 5 (Denver 1992), S. J. Hanson, J. D. Cowan, and C. L. Giles, Editors, 156-163. Morgan Kaufmann, San Mateo.

Lee, B. W. and Shen, B. J. (1991). "Hardware Annealing in Electronic Neural Networks," IEEE Transactions on Circuits and Systems, 38, 134-137.

Lee, B. W. and Sheu, B. J. (1993). "Parallel Hardware Annealing for Optimal Solutions on Electronic Neural Networks," IEEE Transactions on Neural Networks, 4(4), 588-599.

Lee, S. and Kil, R. (1988). "Multilayer Feedforward Potential Function Networks," in Proceedings of the IEEE Second International Conference on Neural Networks (San Diego 1988), vol. I, 161-171. IEEE, New York.

Lee, Y. (1991). "Handwritten Digit Recognition Using k-Nearest Neighbor, Radial-Basis Functions, and Backpropagation Neural Networks," Neural Computation, 3(3), 440-449.

Lee, Y. and Lippmann, R. P. (1990). "Practical Characteristics of Neural Networks and Conventional Pattern Classifiers on Artificial and Speech Problems," in Advances in Neural Information Processing Systems 2 (Denver 1989), D. S. Touretzky, Editor, 168-177. Morgan Kaufmann, San Mateo.

Lee, Y., Oh, S.-H., and Kim, M. W. (1991). "The Effect of Initial Weights on Premature Saturation in Back-Propagation Learning," in International Joint Conference on Neural Networks (Seattle 1991), vol. I, 765-770. IEEE, New York.

von Lehman, Paek, E. G., Liao, P. F., Marrakchi, A., and Patel, J. S. (1988). "Factors Influencing Learning by Back-Propagation," in IEEE International Conference on Neural Networks (San Diego 1988), vol. I, 335-341. IEEE, New York.

Leshno, M., Lin, V. Y., Pinkus, A., and Schocken, S. (1993). "Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function," Neural Networks, 6(6), 861-867.

Leung, C. S. and Cheung, K. F. (1991). "Householder Encoding for Discrete Bidirectional Associative Memory," in Proc. Int. Conference on Neural Networks (Singapore 1991), 237-241.

Levin, A. V. and Narendra, K. S. (1992). "Control of Nonlinear Dynamical Systems Using Neural Networks, Part II: Observability and Identification," Technical Report 9116, Center for Systems Science, Yale Univ., New Haven, CT.

Lewis II, P. M. and Coates, C. L. (1967). Threshold Logic. John Wiley, New York, NY.

Light, W. A. (1992a). "Ridge Functions, Sigmoidal Functions and Neural Networks," in Approximation Theory VII, E. W. Cheney, C. K. Chui, and L. L. Schumaker, Editors, 163-206. Academic Press, Boston.

Light, W. A. (1992b). "Some Aspects of Radial Basis Function Approximation," in Approximation Theory, Spline Functions, and Applications, S. P. Singh, Editor, NATO ASI Series, 256, 163-190. Klawer Academic Publishers, Boston, MA.

Ligthart, M. M., Aarts, E. H. L., and Beenker, F. P. M. (1986). "Design-for-Testability of PLA's Using Statistical Cooling," in Proc. ACM/IEEE 23rd Design Automation Conference (Las Vegas 1986), 339-345.

Lin, J.-N. and Unbehauen, R. (1993). "On the Realization of a Kolmogorov Network," Neural Computation, 5(1), 21-31.

Linde, Y., Buzo, A., and Gray, R. M. (1980). "An Algorithm for Vector Quantizer Design," IEEE Trans. on Communications, COM-28, 84-95.

Linsker, R. (1986). "From Basic Network Principles to Neural Architecture," Proceedings of the National Academy of Sciences, USA, 83, 7508-7512, 8390-8394, 8779-8783.

Linsker, R. (1988). "Self-Organization in a Perceptual Network," Computer, March 1988, 105-117.

Lippmann, R. P. (1987). "An Introduction to Computing with Neural Nets," IEEE Magazine on Accoustics, Signal, and Speech Processing (April), 4, 4-22.

Lippmann, R. P. (1989). "Review of Neural Networks for Speech Recognition," Neural Computation, 1(1), 1-38.

Little, W. A. (1974). "The Existence of Persistent States in the Brain," Math Biosci., 19, 101-120.

Ljung, L. (1977). "Analysis of Recursive Stochastic Algorithms," IEEE Trans. on Automatic Control, AC-22(4), 551-575.

Ljung, L. (1978). "Strong Convergence of Stochastic Approximation Algorithm," Annals of Statistics, 6(3), 680-696.

Lo, Z.-P., Yu, Y., and Bavarian, B. (1993). "Analysis of the Convergence Properties of Topology Preserving Neural Networks," IEEE Transactions on Neural Networks, 4(2), 207-220.

Loève, M. (1963). Probability Theory, 3rd edition, Van Nostrand, New York.

Logar, A. M., Corwin, E. M., and Oldham, W. J. B. (1993). "A Comparison of Recurrent Neural Network Learning Algorithms," in Proceedings of the IEEE International Conference on Neural Networks (San Francisco 1993), vol. II, 1129-1134. IEEE, New York.

Luenberger, D. G. (1969). Optimization by Vector Space Methods. John Wiley, New York, NY.