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Books on the topic 'Combination of neural networks'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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1

IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (1st 2000 San Antonio, Tex.). 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks: Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks : May 11-13, 2000, the Gunter Hotel, San Antonio, TX, USA. Piscataway, N.J: IEEE, 2000.

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2

COGANN-92 (1992 Baltimore, Md.). COGANN-92, International Workshop on Combinations of Genetic Algorithms and Neural Networks, June 6, 1992, Baltimore, Maryland. Edited by Whitley L. Darrell, Schaffer J. David, IEEE Neural Networks Council, and International Society for Genetic Algorithms. Los Alamitos, Calif: IEEE Computer Society Press, 1992.

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3

Dominique, Valentin, and Edelman Betty, eds. Neural networks. Thousand Oaks, Calif: Sage Publications, 1999.

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4

Rojas, Raúl. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4.

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5

Müller, Berndt, Joachim Reinhardt, and Michael T. Strickland. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-57760-4.

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6

Almeida, Luis B., and Christian J. Wellekens, eds. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52255-7.

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7

Davalo, Eric, and Patrick Naïm. Neural Networks. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-12312-4.

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8

Müller, Berndt, and Joachim Reinhardt. Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-97239-3.

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9

Neural networks. New York: Palgrave, 2000.

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10

Abdi, Hervé, Dominique Valentin, and Betty Edelman. Neural Networks. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 1999. http://dx.doi.org/10.4135/9781412985277.

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11

Hoffmann, Norbert. Simulating neural networks. Wiesbaden: Vieweg, 1994.

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12

Bischof, Horst. Pyramidal neural networks. Mahwah, NJ: Lawrence Erlbaum Associates, 1995.

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13

Digital neural networks. Englewood Cliffs, N.J: PTR Prentice Hall, 1993.

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14

Kwon, Seoyun J. Artificial neural networks. Hauppauge, N.Y: Nova Science Publishers, 2010.

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15

Building neural networks. New York, N.Y: ACM Press, 1996.

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16

Wong, Joseph T. Y., and Yung Hou Wong. Invertebrate neural networks. Edited by NetLibrary Inc. Basel, Switzerland: Karger, 2004.

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17

Baram, Yoram. Nested neural networks. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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18

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

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19

Artificial neural networks. New York: McGraw-Hill, 1997.

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20

Alexandridis, Antonios K., and Achilleas D. Zapranis. Wavelet Neural Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118596272.

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21

Cartwright, Hugh, ed. Artificial Neural Networks. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2239-0.

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22

Denz, Cornelia. Optical Neural Networks. Edited by Theo Tschudi. Wiesbaden: Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-663-12272-2.

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23

Krawczak, Maciej. Multilayer Neural Networks. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00248-4.

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24

He, Xingui, and Shaohua Xu. Process Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-73762-9.

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25

Karayiannis, N. B., and A. N. Venetsanopoulos. Artificial Neural Networks. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-4547-4.

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26

Manganaro, Gabriele, Paolo Arena, and Luigi Fortuna. Cellular Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60044-9.

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27

Franco, Leonardo, David A. Elizondo, and José M. Jerez, eds. Constructive Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04512-7.

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28

Cartwright, Hugh, ed. Artificial Neural Networks. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0826-5.

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29

da Silva, Ivan Nunes, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, and Silas Franco dos Reis Alves. Artificial Neural Networks. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43162-8.

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30

Kung, S. Y. Digital neural networks. [Piscataway, NJ]: Institute of Electrical andElectronics Engineers, 1993.

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31

Koprinkova-Hristova, Petia, Valeri Mladenov, and Nikola K. Kasabov, eds. Artificial Neural Networks. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09903-3.

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32

Hänggi, Martin, and George S. Moschytz, eds. Cellular Neural Networks. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3220-7.

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33

Livingstone, David J., ed. Artificial Neural Networks. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-101-1.

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34

Prieto, Alberto, ed. Artificial Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0035870.

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35

Braspenning, P. J., F. Thuijsman, and A. J. M. M. Weijters, eds. Artificial Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0027019.

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36

De Wilde, Philippe. Neural Networks Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034478.

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37

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

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38

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

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39

Neural logic networks: A new class of neural networks. Singapore: World Scientific, 1995.

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40

Chiu, Alan Wing Lun. Hybrid neural networks: Using artificial neural networks for the analysis and control of biological neural networks. Ottawa: National Library of Canada, 2002.

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41

Zhang, Yunong. Zhang neural networks and neural-dynamic method. Hauppauge, N.Y: Nova Science Publishers, 2009.

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42

Genetic Algorithms and Neural Networks Workshop...Combinations of. Ieee Computer Society, 1992.

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43

(Editor), J. David Schaffer, ed. International Workshop on Combinations of Genetic Algorithms and Neural Networks: Cogann-92 : June 6, 1992, Baltimore, Maryland/Cat. No. 92Th0435-8. Ieee Computer Society, 1992.

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44

Seeck, Margitta, L. Spinelli, Jean Gotman, and Fernando H. Lopes da Silva. Combination of Brain Functional Imaging Techniques. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0046.

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Abstract:
Several tools are available to map brain electrical activity. Clinical applications focus on epileptic activity, although electric source imaging (ESI) and electroencephalography-coupled functional magnetic resonance imaging (EEG–fMRI) are also used to investigate non-epileptic processes in healthy subjects. While positron-emission tomography (PET) reflects glucose metabolism, strongly linked with synaptic activity, and single-photon-emission computed tomography (SPECT) reflects blood flow, fMRI (BOLD) signals have a hemodynamic component that is a surrogate signal of neuronal (synaptic) activity. The exact interpretation of BOLD signals is not completely understood; even in unifocal epilepsy, more than one region of positive or negative BOLD is often observed. Co-registration of medical images is essential to answer clinical questions, particularly for presurgical epilepsy evaluations. Multimodal imaging can yield information about epileptic foci and underlying networks. Co-registering MRI, PET, SPECT, fMRI, and ESI (or magnetic source imaging) provides information to estimate the epileptogenic zone and can help optimize surgical results.
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45

Neural Networks. Palgrave Macmillan, 1994.

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46

(Editor), Luis B. Almeida, and Christian J. Wellekens (Editor), eds. Neural Networks. Springer, 1990.

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47

Ellacott, Steve, and Deb Bose. Neural Networks. Itp New Media, 1996.

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48

Dreyfus, Gérard. Neural Networks. Springer, 2005.

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49

1931-, Taylor John, and UNICOM Seminars, eds. Neural networks. Henley-on-Thames: A. Waller, 1995.

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50

Picton, Phil. Neural Networks. 2nd ed. Palgrave Macmillan, 2001.

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