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1

Abe, Shigeo. Neural Networks and Fuzzy Systems. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6253-5.

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2

International conference (February 12-14, 1996 Lausanne, Switzerland). Microeletronics for neural networks and fuzzy systems. Los Alamitos, Calif: IEEE, 1996.

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3

G, Lee C. S., ed. Neural fuzzy systems: A neuro-fuzzy synergism to intelligent systems. Upper Saddle River, NJ: Prentice Hall PTR, 1996.

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4

Rao, Valluru. C++ neural networks and fuzzy logic. New York: MIS:Press, 1993.

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5

Rao, Valluru. C++ neural networks and fuzzy logic. 2nd ed. New York: MIS:Press, 1995.

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6

Abe, Shigeo. Neural Networks and Fuzzy Systems: Theory and Applications. Boston, MA: Springer US, 1997.

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7

Neural networks and fuzzy systems: Theory and applications. Boston: Kluwer Academic, 1997.

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8

Shigeo, Abe. Neural networks and fuzzy systems: Theory and applications. Boston, Mass: Kluwer Academic, 1997.

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9

A course in fuzzy systems and control. Upper Saddle River, N.J: Prentice Hall PTR, 1997.

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10

Rudolf, Kruse, and Klawonn F, eds. Foundations of neuro-fuzzy systems. Chichester: John Wiley, 1997.

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11

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

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12

Foundations of neural networks, fuzzy systems, and knowledge engineering. Cambridge, Mass: MIT Press, 1996.

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13

Rutkowski, Leszek. Flexible neuro-fuzzy systems: Structures, learning, and performance evaluation. Boston: Kluwer Academic Publishers, 2004.

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14

Stavroulakis, Peter. Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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15

Badiru, Adedeji Bodunde. Fuzzy Engineering Expert Systems with Neural Network Applications. New York: John Wiley & Sons, Ltd., 2002.

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16

Y, Cheung John, ed. Fuzzy engineering expert systems with neural network applications. New York: J. Wiley, 2002.

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17

Nie, Junhong. Fuzzy-neural control: Principles, algorithms andapplications. New York: Prentice-Hall, 1995.

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18

Berenji, Hamid R. Fuzzy logic and neural networks for control systems: Visual materials. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 1992.

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19

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

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20

Cios, Krzysztof J. A comparison of neural networks and fuzzy logic methods for process modeling. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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21

Kosko, Bart. Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. HemelHempstead: Prentice-Hall, 1992.

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22

Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence. Englewood Ciffs, NJ: Prentice Hall, 1992.

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23

J, Buckley James. Fuzzy and neural: Interactions and applications. Heidelberg: Physica-Verlag, 1998.

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24

Altrock, Constantin Von. Fuzzy logic and NeuroFuzzy applications explained. Englewood Cliffs, N.J: Prentice Hall PTR, 1995.

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25

Council, IEEE Neural Networks, ed. Understanding neural networks and fuzzy logic: Basic concepts and applications. New York: Institute of Electrical and Electronics Engineers, 1996.

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26

Rao, Valluru. C [plus plus] neural networks and fuzzy logic. 2nd ed. New York: MIS Press, 1995.

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27

Rao, Valluru. C [plus plus] neural networks and fuzzy logic. New York: MIS Press, 1993.

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28

Neural fuzzy control systems with structure and parameter learning. Singapore: World Scientific, 1994.

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29

Nie, Junhong. Fuzzy-neural control: Principles, algorithms, and applications. New York: Prentice Hall, 1995.

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30

service), SpringerLink (Online, ed. Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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31

Melin, Patricia. Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24139-0.

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32

Philip, Chen C. L., and Huang Han-Pang, eds. Fuzzy neural intelligent systems: Mathematical foundation and the applications in engineering. Boca Raton, FL: CRC Press, 2001.

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33

H, Tsoukalas Lefteri, ed. MATLAB supplement to Fuzzy and neural approaches in engineering. New York: Wiley, 1997.

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34

G, Moore C., and Brown M, eds. Intelligent control: Aspects of fuzzy logic and neural nets. Singapore: World Scientific, 1993.

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35

1964-, Feuring Thomas, ed. Fuzzy and neural: Interactions anmd applications. New York: Physica-Verlag, 1999.

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36

1922-, Korn Granino Arthur, ed. Neural networks and fuzzy-logic control on personal computers and workstations. Cambridge, Mass: MIT Press, 1995.

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37

Workshop, on Virtual Intelligence/Dynamic Neural Networks (9th 1998 Stockholm Sweden). Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Academic/industrial/NASA/defense technical interchange and tutorials : international conferences on virtual intelligence/dynamic neural networks--neural networks, fuzzy systems, evolutionary systems, and virtual reality/pulse coupled neural networks, 1998. Bellingham, Wash: SPIE, 1999.

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38

1928-, Uhrig Robert E., ed. Fuzzy and neural approaches in engineering. New York: Wiley, 1997.

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39

Introduction to neuro-fuzzy systems. Heidelberg: Physica-Verlag, 2000.

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40

Thomas, Lindblad, Padgett Mary Lou, Kinser Jason M. 1962-, United States. National Aeronautics and Space Administration, Society of Photo-optical Instrumentation Engineers., and IEEE Industry Applications Society, eds. Proceedings, Ninth Workshop on Virtual Intelligence: Dynamic neural networks: academic/industrial/NASA/defense : technical interchange and tutorials : international conferences on virtual intelligence/dynamic neural networks: neural networks, fuzzy systems, evolutionary systems and virtual reality/pulse coupled neural networks, 1998. Bellingham, Wash., USA: SPIE, 1999.

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41

Hudgins, Billy E. Implementation of fuzzy inference systems using neural network techniques. Monterey, Calif: Naval Postgraduate School, 1992.

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42

Edwards, Vic. Artificial neural networks and fuzzy logic: Their use in prescribed interest asset allocation problems. Loughborough: Loughborough University Banking Centre, 1997.

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43

Gegov, Alexander. Fuzzy Networks for Complex Systems: A Modular Rule Base Approach. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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44

Neural network and fuzzy logic applications in C/C++. New York: Wiley, 1994.

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45

Neural network and fuzzy logic applications in C/C++. New York: Wiley, 1994.

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46

Emergent-adaptive Fuzzy-Systeme: Kombination konnektionistischer, evolutionärer und vager Kalküle im Kontext einer Bionetisch-kognitiven Entscheidungsmethodik. Frankfurt am Main: Lang, 1997.

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47

International Workshop on Neural Networks and Fuzzy Logic (3rd 1992 Houston, Texas). Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic: Proceedings of a workshop held at Lyndon B. Johnson Space Center, Houston, Texas, June 1-3, 1992. Edited by Culbert Christopher J and Lyndon B. Johnson Space Center. [Washington, D.C.]: National Aeronautics and Space Administration, 1993.

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48

Noor, Ahmed Khairy. Computational Intelligence and its Impact on Future High-Performance Engineering Systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and the University of Virginia Center for Computational Structures Technology, Hampton, Virginia, and held at Virginia Consortium of Engineering and Science Universities, Hampton, Virginia, June 27-28, 1995. Hampton, Va: Langley Research Center, 1996.

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49

Abe, Shigeo. Neural Networks and Fuzzy Systems. Springer, 2012.

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50

Computer Vision and Fuzzy Neural Systems. Prentice Hall PTR, 2001.

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