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1

M, Poulton Mary, ed. Computational neural networks for geophysical data processing. Pergamon, 2001.

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2

Bart, Kosko, ed. Neural networks for signal processing. Prentice Hall, 1992.

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3

S, Govindaraju Rao, and Rao A. Ramachandra 1939-, eds. Artificial neural networks in hydrology. Kluwer Academic Publishers, 2000.

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4

Rzempoluck, Edward J. Neural Network Data Analysis Using SimulnetTM. Springer New York, 1998.

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5

W, McLarty J., ed. Neural networks and genome informatics. Elsevier, 2000.

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6

Geological Survey (U.S.). National Mapping Division., ed. Neural network method for sharpening Landsat thermal data from higher resolution multispectral data. U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1997.

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7

Geological Survey (U.S.). National Mapping Division, ed. Neural network method for sharpening Landsat thermal data from higher resolution multispectral data. U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1997.

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8

Zaghloul, Waleed A. Text mining using neural networks. University of Nebraska-Lincoln, 2005.

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9

Souc̆ek, Branko. Neural and concurrent real-time systems: The sixth generation. Wiley, 1989.

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10

B, Bulsari A., ed. Neural networks for chemical engineers. Elsevier, 1995.

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11

Villarreal, James A. A space-time neural network for processing both spacial and temporal data. National Aeronautics and Space Administration, 1991.

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12

1956-, Abrahart Robert J., Kneale Pauline E. 1954-, and See Linda M. 1966-, eds. Neural networks for hydrological modelling. A.A. Balkema Publishers, 2004.

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13

Filo, Orna. Information processing by biochemical systems: Neural network-type configurations. John Wiley & Sons, 2010.

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14

Rosandich, Ryan G. Intelligent Visual Inspection: Using artificial neural networks. Springer US, 1996.

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15

Zhang, Xiang-Sun. Neural networks in optimization. Kluwer Academic Publishers, 2000.

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16

Zhang, Xiang-Sun. Neural networks in optimization. Kluwer Academic Publishers, 2000.

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17

Wattenberg, Ulrich. Massively parallel, optical, and neural computing in Japan: A survey of major research activities. IOS Press, 1992.

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18

IEEE Conference on Neural Information Processing Systems--Natural and Synthetic. (1987 Denver, Colo.). 1987 IEEE Conference on "Neural Information Processing Systems--Natural and Synthetic": November 8-12, 1987, Sheraton Denver Tech Center Hotel, Denver, Colorado, with a post-meeting workshop, November 12-15, Copper Mountain Resort, Colorado. Institute of Electrical and Electronics Engineers, 1988.

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19

Conference on Advances in Neural Information Processing Systems (20th 2006 Vancouver, B.C.). Advances in neural information processing systems 19: Proceedings of the 2006 conference. MIT, 2007.

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20

Rivera, Gilberto, Witold Pedrycz, Juan Moreno-Garcia, and J. Patricia Sánchez-Solís, eds. Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-69769-2.

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21

1954-, Docampo D., Figueiras-Vidal A. R, and Pérez-González F. 1967-, eds. Intelligent methods in signal processing and communications. Birkhäuser, 1997.

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22

Govindaraju, R. S. Artificial Neural Networks in Hydrology. Springer Netherlands, 2000.

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23

1930-, Reijns G. L., and Luo Jian, eds. Transputing in numerical and neural network applications. IOS Press, 1992.

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24

Xubang, Shen, Liu Jian'guo, Society of Photo-optical Instrumentation Engineers., et al., eds. Neural network and distributed processing: 22-23 October 2001, Wuhan, China. SPIE, 2001.

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25

Altrock, Constantin Von. Fuzzy logic and neuroFuzzy applications in business and finance. Prentice Hall PTR, 1997.

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26

Kalb, Gilbert. Massively parallel, optical, and neural computing in Japan [i.e. the United States]: A survey of major research activities. IOS Press, 1992.

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27

Sapuan, S. M. Composite materials technology: Neural network applications. CRC Press, 2010.

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28

A, Athale Ravindra, Davis Joel L. 1942-, Society of Photo-optical Instrumentation Engineers., and American Academy of Otolaryngology--Head and Neck Surgery Foundation., eds. Neural network models for optical computing: 13-14 January 1988, Los Angeles, California. The Society, 1988.

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29

Fowler, Kim. Computer controlled neurological stimulation system: Hardware and firmware descriptions. Johns Hopkins University/Applied Physics Laboratory, 1991.

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30

D, Westervelt James, Construction Engineering Research Laboratories (U.S.), and United States. Army. Corps of Engineers., eds. Using neural networks to correlate satellite imagery and ground- truth data. US Army Corps of Engineers, Construction Engineering Research Laboratories, 1994.

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31

Kocheisen, Michael. Neutral networks in photofinishing. Hartung-Gorre, 1997.

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32

Garson, G. David. Neural networks: An introductory guide for social scientists. Sage, 1998.

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33

Apostolos-Paul, Refenes, ed. Neural networks in financial engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets, London, England, 11-13 October 95. World Scientific, 1996.

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34

(Editor), Gökhan H. Bakir, Thomas Hofmann (Editor), Bernhard Schölkopf (Editor), Alexander J. Smola (Editor), Ben Taskar (Editor), and S. V. N. Vishwanathan (Editor), eds. Predicting Structured Data (Neural Information Processing). The MIT Press, 2007.

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35

Zeng, Zhigang, Chi Sing Leung, Tingwen Huang, and Chuandong Li. Neural Information Processing. Springer, 2012.

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36

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

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37

Computational neural networks for geophysical data processing. Elsevier, 2001. http://dx.doi.org/10.1016/s0950-1401(01)x8013-0.

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38

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

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39

Poulton, M. M. Computational Neural Networks for Geophysical Data Processing. Elsevier Science & Technology Books, 2001.

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40

Neural and brain modeling. Academic Press, 1987.

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41

(Editor), Léon Bottou, Olivier Chapelle (Editor), Dennis DeCoste (Editor), and Jason Weston (Editor), eds. Large-Scale Kernel Machines (Neural Information Processing). The MIT Press, 2007.

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42

(Editor), Yu Hen Hu, Jan Larsen (Editor), Elizabeth Wilson (Editor), and Scott Douglas (Editor), eds. Neural Networks for Signal Processing IX. Institute of Electrical & Electronics Enginee, 1999.

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43

Yu, Francis T. S., and Suganda Jutamulia. Optical Signal Processing, Computing, and Neural Networks. 2nd ed. Krieger Publishing Company, 2000.

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44

Stegeman, Dick F., and Michel J. A. M. Van Putten. Recording of neural signals, neural activation, and signal processing. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0005.

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Abstract:
This chapter discusses recording of electrophysiological signals in the context of clinical neurophysiology. We first discuss the interpretation of signals and differences between signals in terms of their underlying (electro)physiology. As a most prominent aspect of applied electrophysiology, the biophysics of volume conduction in extracellular space is discussed. We also present some basics of advanced procedures to analyse neurophysiological data. Aspects of electrical stimulation are treated too, including recent developments in diagnostic and therapeutic constant current stimulation. We f
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45

Taylor, John G., and Jimmy Shadbolt. Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing). Springer, 2002.

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46

Filo, Orna, and Noah Lotan. Information Processing by Biochemical Systems. Wiley & Sons, Incorporated, John, 2010.

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47

Do, Quang Hung. Artificial Neural Network Applications in Business and Engineering. IGI Global, 2020.

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48

Do, Quang Hung. Artificial Neural Network Applications in Business and Engineering. IGI Global, 2020.

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49

Do, Quang Hung. Artificial Neural Network Applications in Business and Engineering. IGI Global, 2020.

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50

Do, Quang Hung. Artificial Neural Network Applications in Business and Engineering. IGI Global, 2020.

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