Neural networks-twelve learning algorithms

A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988).<<ETX>>

[1]  Bart Kosko.  Constructing an associative memory , 1987 .

[2]  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.

[3]  Maureen Caudill,et al.  Neural networks primer, part III , 1988 .

[4]  J J Hopfield,et al.  Collective computation in neuronlike circuits. , 1987, Scientific American.

[5]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[6]  Yoh-Han Pao,et al.  Functional link nets: removing hidden layers , 1989 .

[7]  Philip D. Wasserman,et al.  Neural computing - theory and practice , 1989 .

[8]  Y. H. Pao,et al.  Characteristics of the functional link net: a higher order delta rule net , 1988, IEEE 1988 International Conference on Neural Networks.

[9]  H. Szu.  Fast simulated annealing , 1987 .

[10]  Claude A. Cruz.  Understanding neural networks : a primer , 1988 .

[11]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[12]  BART KOSKO,et al.  Bidirectional associative memories , 1988, IEEE Trans. Syst. Man Cybern..

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

[14]  Kunihiko Fukushima,et al.  A neural network for visual pattern recognition , 1988, Computer.

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

[16]  William E. Jones,et al.  Back-propagation, a generalized delta learning rule , 1987 .

[17]  R. Hecht-Nielsen,et al.  Neurocomputing: picking the human brain , 1988, IEEE Spectrum.

[18]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[19]  P. Werbos,et al.  Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .

[20]  Kunihiko Fukushima,et al.  Neocognitron: A hierarchical neural network capable of visual pattern recognition , 1988, Neural Networks.

[21]  Kunihiko Fukushima,et al.  Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position , 1982, Pattern Recognit..

[22]  Stephen Grossberg,et al.  Art 2: Self-Organization Of Stable Category Recognition Codes For Analog Input Patterns , 1988, Other Conferences.

[23]  T. Kohonen.  Adaptive, associative, and self-organizing functions in neural computing. , 1987, Applied optics.

[24]  John J. Hopfield,et al.  Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .

[25]  Robert Hecht-Nielsen,et al.  Applications of counterpropagation networks , 1988, Neural Networks.

[26]  B Kosko,et al.  Adaptive bidirectional associative memories. , 1987, Applied optics.

[27]  Stephen Grossberg,et al.  The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.

[28]  J. Stephen Judd,et al.  Learning in neural networks , 1988, COLT '88.

[29]  Yoh-Han Pao,et al.  Adaptive pattern recognition and neural networks , 1989 .

[30]  Bernard Widrow,et al.  Neural nets for adaptive filtering and adaptive pattern recognition , 1988, Computer.