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Books on the topic 'Disordered Systems and Neural Networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Narendra, Kumpati S. Neural networks and dynamical systems. New Haven Co: Yale University Center for Systems Science, 1989.

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2

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

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3

Narendra, Kumpati S. Neural networks and dynamical systems. New Haven Co: Yale University Center for Systems Science, 1989.

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4

Abe, Shigeo. Neural Networks and Fuzzy Systems. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6253-5.

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5

Tutorial on neural systems modeling. Sunderland, Mass: Sinauer Associates, 2009.

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6

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

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7

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

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8

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

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9

Elmasry, Mohamed I. VLSI Artificial Neural Networks Engineering. Boston, MA: Springer US, 1994.

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10

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

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11

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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12

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

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13

International conference (February 12-14, 1996 Lausanne, Switzerland). Microeletronics for neural networks and fuzzy systems. Los Alamitos, Calif: IEEE, 1996.

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14

Chen, S. Non-linear systems identification using neural networks. Sheffield: Universityof Sheffield, Dept. of Control Engineering, 1989.

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15

Goles, Eric, and Servet Martínez, eds. Cellular Automata, Dynamical Systems and Neural Networks. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1005-3.

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16

Anastassiou, George A. Intelligent Systems: Approximation by Artificial Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21431-8.

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17

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

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18

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

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19

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

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20

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

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21

Adaptive pattern recognition and neural networks. Reading, Mass: Addison-Wesley, 1989.

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22

Narendra, Kumpati S. Back propagation in dynamical systems containing neural networks. New Haven,Co: Yale University Center for Systems Science, 1989.

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23

Abe, Shigeo. Neural Networks and Fuzzy Systems: Theory and Applications. Boston, MA: Springer US, 1997.

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24

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

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25

Schumann, Johann, and Yan Liu, eds. Applications of Neural Networks in High Assurance Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10690-3.

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26

Zgurovsky, Michael, Victor Sineglazov, and Elena Chumachenko. Artificial Intelligence Systems Based on Hybrid Neural Networks. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-48453-8.

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27

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

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28

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

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29

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

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30

Introduction to dynamic modeling of neuro-sensory systems. Boca Raton, FL: CRC Press, 2001.

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31

Dorsey, Robert E. Bankruptcy prediction using artificial neural systems. Charlottesville, Va: Research Foundation of The Institute of Chartered Financial Analysts, 1995.

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32

Fakhraie, Sied Mehdi. VLSI - Compatible Implementations for Artificial Neural Networks. Boston, MA: Springer US, 1997.

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33

Rao, Valluru. C++ neural networks and fuzzy logic. New York: MIS:Press, 1993.

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34

Rao, Valluru. C++ neural networks and fuzzy logic. 2nd ed. New York: MIS:Press, 1995.

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35

Jabri, M. A. Adaptive analog VLSI neural systems. London: Chapman & Hall, 1996.

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36

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

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37

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

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38

Koikkalainen, Pasi. Neurocomputing systems: Formal modeling and software implementation. Lappeenranta: Lappeenrannan teknillinen korkeakoulou, 1992.

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39

Disordered systems. Paris: Hermann, 1996.

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40

Sutton, Jeffrey Paul. Hierarchical organization and disordered neural systems. 1988.

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41

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

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42

Chauhan, M. S. Intelligent Systems and Neural Networks. 2015.

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43

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

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44

Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics. Elsevier Science & Technology Books, 2014.

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45

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

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46

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

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47

Artificial Neural Networks. Springer, 2008.

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48

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

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49

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

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50

Artificial Neural Networks. Springer, 2010.

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