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Books on the topic 'Chaotic Recurrent Neural Networks'

Author: Grafiati

Published: 24 June 2021

Last updated: 29 July 2025

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1

Salem, Fathi M. Recurrent Neural Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89929-5.

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2

Tyagi, Amit Kumar, and Ajith Abraham. Recurrent Neural Networks. CRC Press, 2022. http://dx.doi.org/10.1201/9781003307822.

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3

Hu, Xiaolin, and P. Balasubramaniam. Recurrent neural networks. InTech, 2008.

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4

Hammer, Barbara. Learning with recurrent neural networks. Springer London, 2000. http://dx.doi.org/10.1007/bfb0110016.

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5

Yi, Zhang, and K. K. Tan. Convergence Analysis of Recurrent Neural Networks. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-3819-3.

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6

ElHevnawi, Mahmoud, and Mohamed Mysara. Recurrent neural networks and soft computing. InTech, 2012.

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7

R, Medsker L., and Jain L. C, eds. Recurrent neural networks: Design and applications. CRC Press, 2000.

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8

K, Tan K., ed. Convergence analysis of recurrent neural networks. Kluwer Academic Publishers, 2004.

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9

Whittle, Peter. Neural nets and chaotic carriers. Wiley, 1998.

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10

Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24797-2.

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11

Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin Heidelberg, 2012.

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12

1965-, Kolen John F., and Kremer Stefan C. 1968-, eds. A field guide to dynamical recurrent networks. IEEE Press, 2001.

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13

Rovithakis, George A., and Manolis A. Christodoulou. Adaptive Control with Recurrent High-order Neural Networks. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0785-9.

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14

Bianchi, Filippo Maria, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, and Robert Jenssen. Recurrent Neural Networks for Short-Term Load Forecasting. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70338-1.

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15

Chen, Wen. Recurrent neural networks applied to robotic motion control. National Library of Canada, 2002.

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16

Derong, Liu, ed. Qualitative analysis and synthesis of recurrent neural networks. Marcel Dekker, Inc., 2002.

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17

Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. University of Illinois at Urbana-Champaign, 1993.

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18

Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.

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19

Branko, Souček, and IRIS Group, eds. Dynamic, genetic, and chaotic programming: The sixth-generation. Wiley, 1992.

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20

Manganaro, G. Cellular neural networks: Chaos, complexity, and VLSI processing. Springer, 1999.

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21

Rovithakis, George A. Adaptive control with recurrent high-order neural networks: Theory and industrial applications. Springer, 2000.

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22

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

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23

Manganaro, Gabriele. Cellular Neural Networks: Chaos, Complexity and VLSI Processing. Springer Berlin Heidelberg, 1999.

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24

Priesol, Adrian J. Dynamics of a chaotic neural network in response to a sustained stimulus. Dept. of Computer Science, University of Toronto, 1991.

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25

E, Barndorff-Nielsen O., Jensen J. L, and Kendall W. S, eds. Networks and chaos: Statistical and probabilistic aspects. Chapman & Hall, 1993.

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26

Inc, NetLibrary, ed. The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, fuzzy logic : with C++, Java, SymbolicC++ and Reduce programs. World Scientific, 2001.

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27

1925-, Yamaguchi Masaya, ed. Towards the harnessing of chaos: A collection of contributions based on lectures presented at the seventh Toyota Conference, Mikkabi, Shizuoka, Japan, October 31 to November 3, 1993. Elsevier, 1994.

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28

Rietman, Ed. Exploring the geometry of nature: Computer modeling of chaos, fractals, cellular automata, and neural networks. Windcrest, 1989.

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29

Medsker, Larry, and Lakhmi C. Jain, eds. Recurrent Neural Networks. CRC Press, 1999. http://dx.doi.org/10.1201/9781420049176.

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30

Hu, Xiaolin, and P. Balasubramaniam, eds. Recurrent Neural Networks. InTech, 2008. http://dx.doi.org/10.5772/68.

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31

Aihara, Kazuyuki. Chaotic Neural Networks. Cambridge University Press, 2004.

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32

Mandic, Danilo, and Jonathan Chambers. Recurrent Neural Networks for Prediction. Wiley & Sons, Incorporated, John, 2003.

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33

Hammer, Barbara. Learning with Recurrent Neural Networks. Springer, 2000.

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34

Hammer, Barbara. Learning with Recurrent Neural Networks. Springer London, Limited, 2007.

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35

Abraham, Ajith, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.

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36

Abraham, Ajith, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.

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37

Abraham, Ajith, and Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.

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38

Abraham, Ajith, and Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.

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39

ElHefnawi, Mahmoud, ed. Recurrent Neural Networks and Soft Computing. InTech, 2012. http://dx.doi.org/10.5772/2296.

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40

Yi, Zhang. Convergence Analysis of Recurrent Neural Networks. Springer, 2013.

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41

Jain, Lakhmi C., and Larry Medsker. Recurrent Neural Networks: Design and Applications. Taylor & Francis Group, 1999.

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42

Abraham, Ajith, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.

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43

Jain, Lakhmi C., and Larry Medsker. Recurrent Neural Networks: Design and Applications. Taylor & Francis Group, 1999.

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44

Yi, Zhang Zhang. Convergence Analysis of Recurrent Neural Networks. Springer London, Limited, 2013.

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45

Whittle, Peter. Neural Nets and Chaotic Carriers. Wiley & Sons, Incorporated, John, 2000.

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46

Brunner, Daniel, Miguel C. Soriano, and Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.

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47

Cardot, Hubert, ed. Recurrent Neural Networks for Temporal Data Processing. InTech, 2011. http://dx.doi.org/10.5772/631.

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48

Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin / Heidelberg, 2014.

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49

Recurrent Neural Networks for Temporal Data Processing. InTech, 2011.

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50

Brunner, Daniel, Miguel C. Soriano, and Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.

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