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Relevant bibliographies by topics / Neural network / Books

Books on the topic 'Neural network'

To see the other types of publications on this topic, follow the link: Neural network.

Author: Grafiati

Published: 4 June 2021

Last updated: 13 July 2024

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1

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

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2

De Wilde, Philippe. Neural Network Models. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-84628-614-8.

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3

Taylor, J. G., E. R. Caianiello, R. M. J. Cotterill, and J. W. Clark, eds. Neural Network Dynamics. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8.

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4

Taylor, J. G., ed. Neural Network Applications. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2003-2.

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5

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

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6

Edgar, Sánchez-Sinencio, and Newcomb Robert W, eds. Neural network hardware. New York: IEEE, 1992.

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7

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

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8

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

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9

Toshio, Fukuda, ed. Neural network applications. New York: IEEE, 1992.

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10

Shanmuganathan, Subana, and Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.

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11

Skrzypek, Josef, ed. Neural Network Simulation Environments. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2736-7.

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12

Takefuji, Yoshiyasu. Neural Network Parallel Computing. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3642-0.

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13

Takefuji, Yoshiyasu. Neural Network Parallel Computing. Boston, MA: Springer US, 1992.

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14

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

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15

Skrzypek, Josef. Neural Network Simulation Environments. Boston, MA: Springer US, 1994.

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16

Josef, Skrzypek, ed. Neural network simulation environments. Boston: Kluwer Academic Publishers, 1994.

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17

Jayanti, V. R. Neural network simulator interface. Manchester: UMIST, 1995.

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18

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

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19

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

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20

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

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21

Anastassiou, George A. Banach Space Valued Neural Network. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16400-2.

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22

Thrun, Sebastian. Explanation-Based Neural Network Learning. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1381-6.

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23

Ge, Shuzhi S., Chang C. Hang, Tong H. Lee, and Tao Zhang. Stable Adaptive Neural Network Control. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-6577-9.

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24

Wasserman, Theodore, and Lori Drucker Wasserman. Apraxia: The Neural Network Model. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24105-5.

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25

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

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26

1950-, Irwin G. W., Warwick K, Hunt K. J. 1963-, and Institution of Electrical Engineers, eds. Neural network applications in control. London, U.K: Institution of Electrical Engineers, 1995.

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27

Goh, Wee Jin. Object-oriented neural network simulator. Oxford: Oxford Brookes University, 2003.

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28

Demuth, Howard B. Neural network toolbox: User's guide. Natick, Mass: MathWorks Inc, 1994.

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29

S, Ge S., ed. Stable adaptive neural network control. Boston: Kluwer Academic, 2002.

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30

Gacon, David M. Speeding up neural network training. Manchester: UMIST, 1994.

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31

Ge, S. S. Stable Adaptive Neural Network Control. Boston, MA: Springer US, 2002.

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32

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

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33

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

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34

Zeidenberg, Matthew. Neural network models in artificial intelligence and cognition. Chichester: Ellis Horwood, 1989.

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35

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

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36

Wasserman, Theodore, and Lori Drucker Wasserman. Therapy and the Neural Network Model. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26921-0.

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37

Medsker, Larry R. Hybrid Neural Network and Expert Systems. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2726-8.

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38

Miller, Richard K. Neural network. Future Technology Surveys, 1991.

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39

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

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40

Neural Network Technology. Elsevier Science, 1991.

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41

Neural network design. Boston: PWS Publishing, 1996.

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42

Baum. Neural Network Machi. Princeton University Press, 1992.

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43

Neural Network Design. Martin Hagan, 2014.

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44

Neural Networks for Complete Beginners: Introduction for Neural Network Programming. CreateSpace Independent Publishing Platform, 2017.

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45

V, David. Neural Network Programming with Java: Simple Guide on Neural Networks. CreateSpace Independent Publishing Platform, 2017.

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46

Livshin, Igor. Artificial Neural Networks with Java: Tools for Building Neural Network Applications. Apress, 2019.

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47

Livshin, Igor. Artificial Neural Networks with Java: Tools for Building Neural Network Applications. Apress L. P., 2022.

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48

Neural Network PC Tools. Elsevier, 1990. http://dx.doi.org/10.1016/c2009-0-21624-2.

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49

International Neural Network Conference. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0643-3.

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50

Feedforward Neural Network Methodology. New York: Springer-Verlag, 1999. http://dx.doi.org/10.1007/b97705.

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