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1

1941-, Venetsanopoulos A. N., ed. Artificial neural networks: Learning algorithms, performance evaluation, and applications. Boston: Kluwer Academic, 1993.

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2

Virkumar, Vazirani Umesh, ed. An introduction to computational learning theory. Cambridge, Mass: MIT Press, 1994.

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3

Włodzisław, Duch, Érdi Péter, Masulli Francesco, Palm Günther, and SpringerLink (Online service), eds. Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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4

Włodzisław, Duch, Érdi Péter, Masulli Francesco, Palm Günther, and SpringerLink (Online service), eds. Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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5

Kolehmainen, Mikko. Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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6

International, Conference on Artificial Neural Networks and Genetic Algorithms (2007 Warsaw Poland). Adaptive and natural computing algorithms: 8th international conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007 : proceedings. Berlin: Springer, 2007.

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7

Mars, P. Learning algorithms: Theory and applications in signal processing, control, and communications. Boca Raton: CRC Press, 1996.

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8

Delay learning in artificial neural networks. London: Chapman & Hall, 1992.

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9

Myers, Catherine. Delay learning in artificial neural networks. London: Chapman & Hall, 1992.

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10

Myers, Catherine E. Delay learning in artificial neural networks. London: Chapman & Hall, 1992.

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11

J, Marks Robert, ed. Neural smithing: Supervised learning in feedforward artificial neural networks. Cambridge, Mass: The MIT Press, 1999.

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12

Zhang, Yi, and Zhou Jiliu, eds. Subspace learning of neural networks. Boca Raton: CRC Press, 2011.

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13

White, Halbert. Artificial neural networks: Approximation and learning theory. Oxford, UK: Blackwell, 1992.

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14

Chow, Tommy W. S. Neural networks and computing: Learning algorithms and applications. London: Imperial College Press, 2007.

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15

Evolutionary learning algorithms for neural adaptive control. Berlin: Springer, 1997.

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16

Neal, Radford M. Bayesian learning for neural networks. New York: Springer, 1996.

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17

Neal, Radford M. Bayesian learning for neural networks. Toronto: University of Toronto, Dept. of Computer Science, 1995.

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18

Ellacott, Stephen W. Mathematics of Neural Networks: Models, Algorithms and Applications. Boston, MA: Springer US, 1997.

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19

Minns, Anthony W. Artificial neural networks as subsymbolic process descriptors. Rotterdam: A.A. Balkema, 1998.

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20

Adeli, Hojjat. Machine learning: Neural networks, genetic algorithms, and fuzzy systems. New York: Wiley, 1995.

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21

Mladenov, Valeri, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, and Nikola Kasabov, eds. Artificial Neural Networks and Machine Learning – ICANN 2013. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40728-4.

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22

Honkela, Timo, Włodzisław Duch, Mark Girolami, and Samuel Kaski, eds. Artificial Neural Networks and Machine Learning – ICANN 2011. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21735-7.

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23

Honkela, Timo, Włodzisław Duch, Mark Girolami, and Samuel Kaski, eds. Artificial Neural Networks and Machine Learning – ICANN 2011. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21738-8.

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24

Wermter, Stefan, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, and Alessandro E. P. Villa, eds. Artificial Neural Networks and Machine Learning – ICANN 2014. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11179-7.

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25

Kůrková, Věra, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, eds. Artificial Neural Networks and Machine Learning – ICANN 2018. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01418-6.

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26

Kůrková, Věra, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, eds. Artificial Neural Networks and Machine Learning – ICANN 2018. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01421-6.

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27

Kůrková, Věra, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, eds. Artificial Neural Networks and Machine Learning – ICANN 2018. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01424-7.

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28

Lintas, Alessandra, Stefano Rovetta, Paul F. M. J. Verschure, and Alessandro E. P. Villa, eds. Artificial Neural Networks and Machine Learning – ICANN 2017. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68600-4.

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29

Lintas, Alessandra, Stefano Rovetta, Paul F. M. J. Verschure, and Alessandro E. P. Villa, eds. Artificial Neural Networks and Machine Learning – ICANN 2017. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68612-7.

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30

Villa, Alessandro E. P., Włodzisław Duch, Péter Érdi, Francesco Masulli, and Günther Palm, eds. Artificial Neural Networks and Machine Learning – ICANN 2012. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33266-1.

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31

Villa, Alessandro E. P., Włodzisław Duch, Péter Érdi, Francesco Masulli, and Günther Palm, eds. Artificial Neural Networks and Machine Learning – ICANN 2012. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33269-2.

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32

Farkaš, Igor, Paolo Masulli, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61609-0.

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33

Farkaš, Igor, Paolo Masulli, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61616-8.

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34

Villa, Alessandro E. P., Paolo Masulli, and Antonio Javier Pons Rivero, eds. Artificial Neural Networks and Machine Learning – ICANN 2016. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44778-0.

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35

Villa, Alessandro E. P., Paolo Masulli, and Antonio Javier Pons Rivero, eds. Artificial Neural Networks and Machine Learning – ICANN 2016. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44781-0.

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36

Farkaš, Igor, Paolo Masulli, Sebastian Otte, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86340-1.

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37

Farkaš, Igor, Paolo Masulli, Sebastian Otte, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86383-8.

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38

Farkaš, Igor, Paolo Masulli, Sebastian Otte, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7.

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39

Farkaš, Igor, Paolo Masulli, Sebastian Otte, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86365-4.

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40

Farkaš, Igor, Paolo Masulli, Sebastian Otte, and Stefan Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86362-3.

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41

Tetko, Igor V., Věra Kůrková, Pavel Karpov, and Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30484-3.

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42

Tetko, Igor V., Věra Kůrková, Pavel Karpov, and Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30487-4.

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43

Ruan, Da. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms. Boston, MA: Springer US, 1997.

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44

Thrun, Sebastian. Explanation-based neural network learning: A lifelong learning approach. Boston: Kluwer Academic Publishers, 1996.

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45

Tetko, Igor V., Věra Kůrková, Pavel Karpov, and Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30508-6.

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46

Thrun, Sebastian. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Boston, MA: Springer US, 1996.

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47

Mohebbi, Ali. Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithms. Hauppauge, N.Y: Nova Science Publishers, 2010.

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48

Soft computing in water resources engineering: Artificial neural networks, fuzzy logic and genetic algorithms. Southampton: WIT Press, 2012.

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49

Tetko, Igor V., Věra Kůrková, Pavel Karpov, and Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30490-4.

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50

Karayiannis, N. B. Artificial neural networks: Learning algorithms, performance evaluation, and applications. 2011.

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