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Books on the topic 'Hopfield network; Neural networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Ally, Afshan. A Hopfield neural network decoder for convolutional codes. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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2

Keeler, James David. Comparison between sparsely distributed memory and Hopfield-type neural network models. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1986.

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3

P, Coughlin James. Neural computation in Hopfield networks and Boltzmann machines. Newark: University of Delaware Press, 1995.

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4

Collier, N. H. English-Japanese lexical transfer using a hopfield neural network. Manchester: UMIST, 1996.

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5

Rojas, Raúl. Neural networks: A systematic introduction. Berlin: Springer-Verlag, 1996.

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6

Dayhoff, Judith E. Neural network architectures: An introduction. New York, N.Y: Van Nostrand Reinhold, 1990.

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7

Bharath, Ramachandran. Neural network computing. New York: Windcrest/McGraw-Hill, 1994.

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8

B, Demuth Howard, and Beale Mark H, eds. Neural network design. Boston: PWS Pub., 1996.

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9

Cierniak, Robert. Nowe algorytmy rekonstrukcji obrazu z projekcji z zastosowaniem sieci neuronowych typu Hopfielda. Częstochowa: Wydawn. Politechniki Częstochowskiej, 2006.

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10

Neural network parallel computing. Boston: Kluwer Academic Publishers, 1992.

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11

Neural network principles. Englewood Cliffs, NJ: Prentice Hall, 1994.

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12

Harvey, Robert L. Neural network principles. London: Prentice-Hall International, 1994.

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13

S, Mohan. Artificial neural network modelling. Roorkee: Indian National Committee on Hydrology, 2007.

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14

Cognitive psychology: A neural network approach. USA: Brooks-Cole, 1991.

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15

Martindale, Colin. Cognitive psychology: A neural-network approach. Pacific Grove, CA: Brooks/Cole Pub. Co., 1991.

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16

Neural network analysis using Simulnet. New York: Springer, 1998.

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17

F, De Groff Dolores, ed. Neural network modeling: Statistical mechanics and cybernetic perspectives. Boca Raton, Fla: CRC Press, 1994.

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18

C, Jain L., and Johnson R. P, eds. Neural network training using genetic algorithms. Singapore: World Scientific, 1996.

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19

Neural network models: An analysis. London: Springer, 1996.

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20

Gallant, Stephen I. Neural network learning and expert systems. Cambridge, Mass: MIT Press, 1993.

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21

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

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22

Modular learning in neural networks: A modularized approach to neural network classification. New York, NY: Wiley, 1992.

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23

Medsker, L. R. Hybrid neural network and expert systems. Boston: Kluwer Academic, 1993.

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24

Medsker, Larry. Hybrid neural network and expert systems. Norwell, MA: Kluwer Academic, 1994.

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25

Burnod, Yves. An adaptive neural network: The cerebral cortex. Paris: Masson, 1989.

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26

An adaptive neural network: The cerebral cortex. Paris: Masson, 1990.

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27

Pomerleau, Dean A. Neural network perception for mobile robot guidance. Boston: Kluwer Academic Publishers, 1993.

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28

British Neural Network Society. Meeting. Neural network applications: Proceedings of the Second British Neural Network Society Meeting (NCM '91), London, October 1991. London: Springer-Verlag, 1992.

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29

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

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30

Bose, N. K. Neural network fundamentals with graphs, algorithms, and applications. New York: McGraw-Hill, 1996.

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31

Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.

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32

Sapuan, S. M. Composite materials technology: Neural network applications. Boca Raton: CRC Press, 2010.

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33

Neural network models: Theory and projects. 2nd ed. London: Springer, 1997.

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34

Tomberg, Jouni. Integrated circuit implementations of neural network algorithms. Tampere, Finland: Tampere University of Technology, Dept. of Electrical Engineering, Microelectronics Laboratory, 1990.

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35

Rickman, R. M. Image database retrieval using neural network transformations. (London): British Library Research and Innovation Centre, 1996.

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36

Nakagawa, Seiichi. Speech, hearing and neural network models. Tokyo: Ohmsha, 1995.

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37

Lewis, T. G. Network Science. New York: John Wiley & Sons, Ltd., 2009.

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38

Zeng, Zhigang. Advances in Neural Network Research and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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39

Mathematical methods for neural network analysis and design. Cambridge, Mass: MIT Press, 1996.

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40

Delgado-Frias, José G. VLSI for Artificial Intelligence and Neural Networks. Boston, MA: Springer US, 1991.

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41

Thrun, Sebastian. Explanation-based neural network learning: A lifelong learning approach. Boston: Kluwer Academic Publishers, 1996.

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42

Masters, Timothy. Practical neural network recipes in C++. Boston: Academic Press, 1993.

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43

Hourihane, John Philip. Explorations of constructive approaches to Artificial Neural Network Design. Dublin: University College Dublin, 1997.

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44

Walsh, Micheal Patrick. A novel neural network for power system scheduling. Dublin: University College Dublin, 1998.

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45

P, Coughlin James, and Robert H. Baran. Neural Computation in Hopfield Networks and Boltzmann Machines. Rowman & Littlefield Publishers, Incorporated, 1995.

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46

Center, Ames Research, ed. Simulation tests of the optimization method of Hopfield and Tank using neural networks. Moffett Field, California: National Aeronautics and Space Administration, Ames Research Center, 1989.

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47

Neural Network Architectures: An Introduction. Van Nostrand Reinhold, 1989.

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48

Demuth, Howard B., Mark H. Beale, and Martin T. Hagan. Neural Network Design. Martin Hagan, 2002.

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49

Samarasinghe, Sandhya, and Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2016.

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50

Samarasinghe, Sandhya, and Subana Shanmuganathan. Artificial Neural Network Modelling. Springer, 2018.

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