Introduction to computation and learning in artificial neural networks

[1]  A. A. Mullin,et al.  Principles of neurodynamics , 1962 .

[2]  Brian W. Kernighan,et al.  An Effective Heuristic Algorithm for the Traveling-Salesman Problem , 1973, Oper. Res..

[3]  Roman Bek,et al.  Discourse on one way in which a quantum-mechanics language on the classical logical base can be built up , 1978, Kybernetika.

[4]  Shun-Ichi Amari,et al.  Topographic organization of nerve fields , 1979, Neuroscience Letters.

[5]  T. Kohonen Self-organized formation of topographically correct feature maps , 1982 .

[6]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[7]  J J Hopfield,et al.  Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[8]  L. Personnaz,et al.  Collective computational properties of neural networks: New learning mechanisms. , 1986, Physical review. A, General physics.

[9]  D. Amit,et al.  Statistical mechanics of neural networks near saturation , 1987 .

[10]  Lawrence D. Jackel,et al.  Large Automatic Learning, Rule Extraction, and Generalization , 1987, Complex Syst..

[11]  W. Krauth,et al.  Learning algorithms with optimal stability in neural networks , 1987 .

[12]  Carsten Peterson,et al.  A Mean Field Theory Learning Algorithm for Neural Networks , 1987, Complex Syst..

[13]  J J Hopfield,et al.  Learning algorithms and probability distributions in feed-forward and feed-back networks. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Richard Durbin,et al.  An analogue approach to the travelling salesman problem using an elastic net method , 1987, Nature.

[15]  Santosh S. Venkatesh,et al.  The capacity of the Hopfield associative memory , 1987, IEEE Trans. Inf. Theory.

[16]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[17]  Esther Levin,et al.  Accelerated Learning in Layered Neural Networks , 1988, Complex Syst..

[18]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[19]  Bernard Angéniol,et al.  Self-organizing feature maps and the travelling salesman problem , 1988, Neural Networks.

[20]  Cecilia R. Aragon,et al.  Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning , 1989, Oper. Res..

[21]  Carsten Peterson,et al.  A New Method for Mapping Optimization Problems Onto Neural Networks , 1989, Int. J. Neural Syst..

[22]  D. Werra,et al.  Tabu search: a tutorial and an application to neural networks , 1989 .

[23]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[24]  Benny Lautrup,et al.  A novel approach to prediction of the 3‐dimensional structures of protein backbones by neural networks , 1990, NIPS.

[25]  George Cybenko,et al.  Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..