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1

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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2

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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3

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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4

Kobayashi, Takahisa. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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5

Vas, Peter. Artificial-intelligence-based electrical machines and drives: Application of fuzzy, neural, fuzzy-neural, and genetic-algorithm-based techniques. Oxford University Press, 1999.

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6

P, Dhawan Atam, Meyer Claudia M, and United States. National Aeronautics and Space Administration., eds. Genetic algorithm based input selection for a neural network function approximator with application to SSME health monitoring. National Aeronautics and Space Administration, 1991.

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7

Albrecht, Rudolf F., Colin R. Reeves, and Nigel C. Steele, eds. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-7533-0.

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8

Pearson, David W., Nigel C. Steele, and Rudolf F. Albrecht. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-7535-4.

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9

Kůrková, Věra, Roman Neruda, Miroslav Kárný, and Nigel C. Steele, eds. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9.

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10

Dobnikar, Andrej, Nigel C. Steele, David W. Pearson, and Rudolf F. Albrecht. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6384-9.

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11

Smith, George D., Nigel C. Steele, and Rudolf F. Albrecht. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6492-1.

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12

Pearson, David W., Nigel C. Steele, and Rudolf F. Albrecht, eds. Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0646-4.

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13

C, Jain L., and Johnson R. P, eds. Neural network training using genetic algorithms. World Scientific, 1996.

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14

Lee, Jae-Woo. Evolving neural networks using parallel genetic algorithms. UMIST, 1998.

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15

Caplan, J. An investigation into genetic algorithms with neural networks. UMIST, 1993.

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16

Rogers, David. G/SPINES: A hybird of friedman's multivariate adaptive regression splines (MARS) algorithm with Holland's genetic algorithm. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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17

Furuhashi, Takeshi, ed. Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60607-6.

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18

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

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19

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

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20

Da, Ruan, ed. Intelligent hybrid systems: Fuzzy logic, neural networks, and genetic algorithms. Kluwer Academic Publishers, 1997.

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21

C, Jain L., and Martin N. M, eds. Fusion of neural networks, fuzzy sets, and genetic algorithms: Industrial applications. CRC press, 1999.

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22

Kwaśnicka, Halina. Ewolucyjne projektowanie sieci neuronowych. Oficyna Wydawnicza Politechniki Wrocławskiej, 2007.

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23

D, Karaboga, ed. Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer London, 2000.

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24

1965-, Karaboga Dervis, ed. Intelligent optimisation techniques: Genetic algorithms, tabu search, simulated annealing and neural networks. Springer, 2000.

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25

V, Kůrková, ed. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Prague, Czech Republic, 2001. Springer, 2001.

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26

1925-, Albrecht R. F., Reeves Colin R, and Steele N. C, eds. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Innsbruck, Austria, 1993. Springer-Verlag, 1993.

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27

C, Jorgensen Charles, and Ames Research Center, eds. Toward a more robust pruning procedure for MLP networks. National Aeronautics and Space Administration, Ames Research Center, 1998.

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28

Ray, Paton, ed. Computing with biological metaphors. Chapman & Hall, 1994.

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29

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. IEEE Computer Society Press, 1992.

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30

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

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31

Zalzala, A. M. S. Explorations in real-time robotics using parallel processing,neural networks and genetic algorithms. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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32

E, Grierson D., Hajela Prabhat 1956-, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Emergent Computing Methods in Engineering Design (1994 : Nauplion, Greece), eds. Emergent computing methods in engineering design: Applications of genetic algorithms and neural networks. Springer, 1996.

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33

Hunger, Johannes. Künstlich intelligente Entwicklung von Kraftfeldparametern: Eine Komposition am Beispiel tripodaler Metallkomplexe. Springer, 2000.

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34

Chaiyaratana, N. Hybridisation of neural networks and genetic algorithms in an application of time-optimal control. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1998.

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35

IEEE/Nagoya University World Wisepersons Workshop (1994 Nagoya-shi, Japan). Advances in fuzzy logic, neural networks, and genetic algorithms: IEEE/Nagoya University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers. Springer, 1995.

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36

W, Pearson D., Steele N. C, and Albrecht R. F. 1925-, eds. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Alès, France, 1995. Springer-Verlag, 1995.

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37

W, Pearson D., Steele N. C, Albrecht R. F. 1925-, and International Conference on Artificial Neural Networks and Genetic Algorithms (2003 : Roanne, France), eds. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Roanne, France, 2003. Springer, 2003.

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38

Artificial Neural Nets and Genetic Algorithms (Conference) (4th 1999 Portorož, Slovenia). Artificial neural nets and genetic algorithms: Proceedings of the international conference in Portorož, Slovenia, 1999. Springer, 1999.

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39

name, No. Artificial neural nets and genetic algorithms: Proceedings of the international conference in Roanne, France, 2003. Springer Verlag, 2003.

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40

IEEE International Conference on Evolutionary Computation (1995 Perth, W.A.). 1995 IEEE International Conference on Evolutionary Computation, the University of Western Australia, Perth, Western Australia, 29 November-1 December, 1995. Institute of Electrical and Electronics Engineers, 1995.

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41

IEEE/Nagoya-University World Wisepersons Workshop on Fuzzy Logic and Neural Networks/Evolutionary Computation (1995 Nagoya, Japan). Proceedings of the 1995 IEEE/Nagoya-University World Wisepersons Workshop (WWW '95) on Fuzzy Logic and Neural Networks/Evolutionary Computation: November 14 and 15, 1995, Rubrum Ohzan, Nagoya, Japan. Nagoya University, 1995.

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42

V, Topping B. H., International Conference on Engineering Computational Technology (2nd : 2000 : Louvain, Belgium), and International Conference on Computational Structures Technology (5th : 2000 : Louvain, Belgium), eds. Computational engineering using metaphors from nature. Civil-Comp, 2000.

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43

Steele, Nigel C., Rudolf F. Albrecht, and Colin R. Reeves. Artificial Neural Nets and Genetic Algorithms. Island Press, 1993.

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44

Pearson, David W., and Nigel C. Steele. Artificial Neural Nets and Genetic Algorithms. Island Press, 1999.

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45

Smith, George D., Nigel C. Steele, and Rudolf F. Albrecht. Artificial Neural Nets and Genetic Algorithms. Island Press, 1998.

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46

Pearson, David W., and Nigel C. Steele. Artificial Neural Nets and Genetic Algorithms. Island Press, 2003.

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47

Pearson, David W., Nigel C. Steele, and Rudolf F. Albrecht. Artificial Neural Nets and Genetic Algorithms. Island Press, 1995.

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48

Vanrooij, A. J. F. Neural Network Training Using Genetic Algorithms. World Scientific Publishing Co Pte Ltd, 1998.

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49

Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic
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50

Rajashekaran, S., and G. A. Vijayalksmi. Neural Networks, Fuzzy Logic and Genetic Algorithms. Prentice-Hall of India Pvt.Ltd, 2004.

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