Books on the topic 'Stochastic systems; neural networks; computer science'

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1

International Conference on Applied Stochastic Models and Data Analysis (12th : 2007 : Chania, Greece), ed. Advances in data analysis: Theory and applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Boston: Birkhäuser, 2010.

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2

Focus, Symposium on Learning and Adaptation in Stochastic and Statistical Systems (2001 Baden-Baden Germany). Proceedings of the Focus Symposium on Learning and Adaptation in Stochastic and Statistical Systems. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2002.

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3

H, Eeckman Frank, and Bower James M, eds. Computation and neural systems. Boston: Kluwer Academic Publishers, 1993.

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4

Stefan, Wermter, and Sun Ron 1960-, eds. Hybrid neural systems. Berlin: Springer, 2000.

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5

Cruse, Holk. Neural networks as cybernetic systems. Stuttgart: G. Thieme Verlag, 1996.

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6

Zurada, Jacek M. Introduction to artificial neural systems. St. Paul: West, 1992.

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7

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

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8

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

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9

1959-, Yuhas Ben, and Ansari Nirwan 1958-, eds. Neural networks in telecommunications. Boston: Kluwer Academic Publishers, 1994.

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10

H, Eeckman Frank, and Conference on Computation and Neural Systems (1993 : Washington, D.C.), eds. Computation in neurons and neural systems. Boston: Kluwer Academic Publishers, 1994.

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11

Eeckman, Frank H. Computation in neurons and neural systems. New York: Springer, 1994.

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12

J, Mason, and Parks P. C, eds. Learning systems. London: Springer, 1995.

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13

Anastassiou, George A. Intelligent Systems: Approximation by Artificial Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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14

S, Levine Daniel, Brown Vincent R, and Shirey V. Timothy, eds. Oscillations in neural systems. Mahwah, N.J: Lawrence Erlbaum Assoicates, Publishers, 2000.

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15

Bekey, George A., and Goldberg Ken. Neural networks in robotics. New York: Springer Science+Business Media, LLC, 1993.

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16

P, Morgan David. Neural networks and speech processing. Boston: Kluwer Academic Publishers, 1991.

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17

Medsker, Larry R. Hybrid Neural Network and Expert Systems. Boston, MA: Springer US, 1994.

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18

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

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19

Rudolf, Kruse, and Klawonn F, eds. Foundations of neuro-fuzzy systems. Chichester: John Wiley, 1997.

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20

Eric, Golès, Martínez Servet, and School of Statistical Physics and Cooperative Systems (3rd : 1992 : Santiago, Chile), eds. Cellular automata, dynamical systems, and neural networks. Dordrecht: Kluwer, 1994.

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21

Intelligent systems for business: Expert systems with neural networks. Belmont, Calif: Wadsworth Pub. Co., 1993.

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22

Tatiana, Baidyk, Wunsch Donald C, and SpringerLink (Online service), eds. Neural Networks and Micromechanics. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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23

H, Eeckman Frank, ed. Neural systems: Analysis and modeling. Boston: Kluwer Academic Publishers, 1993.

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24

1957-, Liebowitz Jay, ed. Design and development of expert systems and neural networks. New York: Macmillan, 1994.

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25

Neural networks and fuzzy systems: Theory and applications. Boston: Kluwer Academic, 1997.

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26

R, Euliano Neil, and Lefebvre W. Curt, eds. Neural and adaptive systems: Fundamentals through simulations. New York: Wiley, 2000.

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27

Neural networks for pattern recognition. Cambridge, Mass: MIT Press, 1993.

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28

Kreinovich, Vladik. Neural networks: What non-linearity to choose. [Washington, DC?: National Aeronautics and Space Administration, 1991.

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29

Kreinovich, Vladik. Neural networks: What non-linearity to choose. [Washington, DC?: National Aeronautics and Space Administration, 1991.

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30

Applications of neural networks in high assurance systems. Berlin: Springer, 2010.

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31

1941-, Yager Ronald R., and Zadeh Lotfi Asker, eds. Fuzzy sets, neural networks, and soft computing. New York: Van Nostrand Reinhold, 1994.

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32

A course in fuzzy systems and control. Upper Saddle River, N.J: Prentice Hall PTR, 1997.

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33

H, Anderson C., ed. Neural engineering: Computation, representation, and dynamics in neurobiological systems. Cambridge, Mass: MIT Press, 2003.

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34

E, Golès, Martínez Servet, and School on Statistical Physics and Cooperative Systems (2nd : 1990 : Santiago, Chile), eds. Statistical physics, automata networks, and dynamical systems. Dordrecht: Kluwer Academic Publishers, 1992.

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35

Ramesh, Sharda, Cheung John Y, and Cochran W. Joseph, eds. Knowledge-based systems and neural networks: Techniques and applications. New York: Elsevier, 1991.

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36

Ramacher, Ulrich. VLSI Design of Neural Networks. Boston, MA: Springer US, 1991.

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37

Dynamics On and Of Complex Networks Volume 2 Modeling and Simulation in Science Engineering and Technology. Springer-Verlag New York Inc., 2013.

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38

Waves In Neural Media From Single Neurons To Neural Fields. Springer-Verlag New York Inc., 2013.

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39

Omid, Omidvar, and Elliott David L. 1932-, eds. Neural systems for control. San Diego: Academic Press, 1997.

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40

Neural-Symbolic Learning Systems. Springer, 2002.

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41

Omid, Omidvar, and Smagt Patrick van der, eds. Neural systems for robotics. San Diego: Academic Press, 1997.

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42

Abe, Shigeo. Neural Networks and Fuzzy Systems. Springer, 2012.

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43

Wermter, Stefan, and Ron Sun. Hybrid Neural Systems. Springer, 2006.

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44

Eeckman, Frank. Computation and Neural Systems. Springer, 2013.

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45

Yang, Jun, Wuneng Zhou, Liuwei Zhou, and Dongbing Tong. Stability and Synchronization Control of Stochastic Neural Networks. Springer, 2015.

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46

Yang, Jun, Wuneng Zhou, Liuwei Zhou, and Dongbing Tong. Stability and Synchronization Control of Stochastic Neural Networks. Springer Berlin / Heidelberg, 2016.

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47

Yang, Jun, Wuneng Zhou, Liuwei Zhou, and Dongbing Tong. Stability and Synchronization Control of Stochastic Neural Networks. Springer London, Limited, 2015.

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48

Hangartner, Ricky Dale. Probabilistic computation in stochastic pulse neuromime networks. 1994.

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49

Coolen, A. C. C., P. Sollich, and R. Kuhn. Theory of Neural Information Processing Systems. Oxford University Press, USA, 2005.

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50

Computer Vision and Fuzzy Neural Systems. Prentice Hall PTR, 2001.

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