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1

Aubin, Jean Pierre. Neural networks and qualitative physics. Cambridge: Cambridge University Press, 1996.

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2

Aubin, Jean Pierre. Neural networks and qualitative physics. Cambridge: Cambridge University Press, 2011.

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3

E, Domany, and Cowan J, eds. Models of Neural Networks IV.: The Visual System - Physics of Neural Networks. S. l: Springer-Verlag New York, Incorporated, 2002.

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4

Murray, Alan F. Applications of Neural Networks. Boston, MA: Springer US, 1995.

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5

Zhang, Xiang-Sun. Neural Networks in Optimization. Boston, MA: Springer US, 2000.

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6

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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7

Pham, Duc Truong. Neural Networks for Identification, Prediction and Control. London: Springer London, 1995.

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8

Akhmet, Marat, and Mehmet Onur Fen. Replication of Chaos in Neural Networks, Economics and Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-47500-3.

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9

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

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10

Workshop on Neural Networks: from Biology to High Energy Physics (2nd 1992 Isola d'Elba, Italy). Second Workshop on Neural Networks: from Biology to High Energy Physics, Isola d'Elba, Italy, June 18-26, 1992. Edited by Benhar Omar. Singapore: World Scientific, 1993.

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11

Nicolini, Claudio A. From Neural Networks and Biomolecular Engineering to Bioelectronics. Boston, MA: Springer US, 1995.

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12

He, Bin. Neural Engineering. 2nd ed. Boston, MA: Springer US, 2013.

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13

Petridis, Vassilios. Predictive Modular Neural Networks: Applications to Time Series. Boston, MA: Springer US, 1998.

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14

Workshop on Neural Networks : From Biology to High Energy Physics (3rd 1994 Isola d'Elba, Italy). Third workshop on neural networks : from biology to high energy physics, Isola d'Elba, Italy, September 26-30, 1994. Singapore: World Scientific, 1995.

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15

Ronald, Tetzlaff, IEEE Circuits and Systems Society, and Universität Frankfurt am Main. Institut für Angewandte Physik, eds. Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and Their Applications: Institute of Applied Physics, Johann Wolfgang Goethe-University, Frankfurt, Germany, 22-24 July, 2002. Singapore: World Scientific, 2002.

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16

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

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17

F, Masulli, Morasso P, and Schenone A, eds. Neural networks in biomedicine: Proceedings of the Advanced School of the Italian Biomedical Physics Association, Como, Italy, 15-19 November 1993. Singapore: World Scientific, 1994.

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18

1931-, Doebner H. D., ed. Neurodynamics: Proceedings of the 9th summer workshop on mathematical Physics, Arnold Sommerfeld Institute for Mathematical Physics, Clausthal, 17-20 July 1990. Singapore: World Scientific, 1991.

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19

Sundararajan, N. Fully Tuned Radial Basis Function Neural Networks for Flight Control. Boston, MA: Springer US, 2002.

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20

Jong-Hoon, Oh, Kwon Chulan, Cho Sungzoon, Sŏul Taehakkyo. Chayŏn Kwahak Taehak. Pusŏl Iron Mullihak Yŏnʼguso., and Pʻohang Kongkwa Taehak (Korea). Kichʻo Kwahak Yŏnʼguso., eds. Neural networks: The statistical mechanics perspective : proceedings of the CTP-PBSRI Joint Workshop on Theoretical Physics, POSTECH, Pohang, Korea, 2-4 February 95. Singapore: World Scientific, 1995.

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21

Lindblad, Thomas. Image Processing using Pulse-Coupled Neural Networks: Applications in Python. 3rd ed. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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22

Rovithakis, George A. Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications. London: Springer London, 2000.

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23

Montavon, Grégoire. Neural Networks: Tricks of the Trade: Second Edition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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24

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

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25

Kohonen, Teuvo. Self-organizing maps. Berlin: Springer, 1995.

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26

Kohonen, Teuvo. Self-organizing maps. 2nd ed. Berlin: Springer, 1997.

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27

Giese, Martin A. Dynamic Neural Field Theory for Motion Perception. Boston, MA: Springer US, 1999.

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28

1994, Altherr Tanguy d., Aurenche P, Veneziano G, and Sorba P, eds. From thermal field theory to neural networks: A day to remember Tanguy Altherr, Cern, 4 November 1994. Singapore: World Scientific, 1996.

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29

K, Theumann W., and Köberle Roland, eds. Neural networks and spin glasses: Proceedings of the STATPHYS 17 Workshop on Neural Networks and Spin Glasses. Held at the Institute of Physics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 8-11 August 1989. Singapore: World Scientific, 1990.

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30

W, Pearson D., Steele N. C, Albrecht R. F. 1925-, and International Conference on Artificial Neural Networks and Genetic Algorithms (2003 : Roanne, France), eds. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Roanne, France, 2003. Wien: Springer, 2003.

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31

Aizenberg, Igor N. Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications. Boston, MA: Springer US, 2000.

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32

Armin, Fuchs, and Jirsa V. K, eds. Coordination: Neural, behavioral and social dynamics. Berlin: Springer, 2008.

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33

Dössel, Olaf. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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34

Haken, Hermann. Synergetic Computers and Cognition: A Top-Down Approach to Neural Nets. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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35

Estévez, Pablo A. Advances in Self-Organizing Maps: 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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36

Haken, Hermann. Synergetics of Cognition: Proceedings of the International Symposium at Schlo€ Elmau, Bavaria, June 4-8, 1989. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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37

1964-, Beim Graben P., ed. Lectures in supercomputational neuroscience: Dynamics in complex brain networks. Berlin: Springer, 2008.

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38

Cabrera, Blas. From High-Temperature Superconductivity to Microminiature Refrigeration. Boston, MA: Springer US, 1996.

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39

Artificial Neural Nets and Genetic Algorithms (Conference) (4th 1999 Portorož, Slovenia). Artificial neural nets and genetic algorithms: Proceedings of the international conference in Portorož, Slovenia, 1999. Wien: Springer, 1999.

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40

1921-, Caianiello Eduardo R., Marinaro M, Scarpetta G, Università degli studi di Salerno. Dipartimento di fisica teorica, Istituto italiano per gli studi filosofici, and International Institute for Advanced Scientific Studies, eds. Structure: From physics to general systems : festschrift volume in honour of E.R. Caianiello on his seventieth birthday : Amalfi, Salerno, Italy, 20-24 October 1991. Singapore: World Scientific, 1992.

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41

Müller, Berndt, Joachim Reinhardt, and Michael T. Strickland. Neural Networks: An Introduction (Physics of Neural Networks). 2nd ed. Springer, 2002.

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42

Domany, E., and J. L. Van Hemmen. Models of Neural Networks (Physics of Neural Networks). Springer-Verlag, 1991.

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43

Müller, Berndt, and Joachim Reinhardt. Neural Networks: An Introduction (Physics of Neural Networks). Springer, 1991.

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44

Domany, E., and J. L. Van Hemmen. Models of Neural Networks I (Physics of Neural Networks). 2nd ed. Springer-Verlag, 1995.

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45

J. L. Van Hemmen (Editor) and K. Schulten (Editor), eds. Models of Neural Networks I (Physics of Neural Networks). 2nd ed. Springer-Verlag Telos, 1995.

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46

Miller, Richard K., and J. Reinhardt. Neural Networks: An Introduction/With Diskette (Physics of Neural Networks). Springer, 1991.

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47

Galushkin, Alexander I. Neural Networks Theory. Springer London, Limited, 2007.

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48

Neural networks: Methodology and applications. Berlin: Springer, 2005.

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49

Murray, Alan. Applications of Neural Networks. Springer, 1994.

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50

(Editor), Eytan Domany, J. Leo van Hemmen (Editor), and Klaus Schulten (Editor), eds. Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks). Springer, 1995.

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