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Books on the topic 'Neural structures'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34425-1.

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2

von, Seelen W., Shaw G. L. 1932-, Leinhos U. M, and Werner-Reimers-Stiftung, eds. Organization of neural networks: Structures and models. VCH, 1988.

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3

Roberts, S. G. The evolution of artificial neural network structures. UMIST, 1997.

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4

Vasquez, Daniel. Hierarchical Neural Network Structures for Phoneme Recognition. Springer Berlin Heidelberg, 2013.

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5

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

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6

Waszczyszyn, Zenon, ed. Neural Networks in the Analysis and Design of Structures. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-2484-0.

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7

Elsayed, Gamaleldin Fathy. Identification and Validation of Structures in Neural Population Responses. [publisher not identified], 2017.

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8

Lim, Peter Chen Yuen. Detecting and diagnosing faults in aerospace structures using neural networks. University of Manchester, 1995.

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9

Dong, Tiansi. A Geometric Approach to the Unification of Symbolic Structures and Neural Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56275-5.

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10

Petridis, Vassilios. Predictive Modular Neural Networks: Applications to Time Series. Springer US, 1998.

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11

Barnden, John A. Encoding techniques for complex information structures in connectionist systems. Computing Research Laboratory, New Mexico State University, 1990.

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12

United States. National Aeronautics and Space Administration., ed. Optimi[z]ation of aerospace structures: Final technical report. The Ohio Aerospace Institute, 1994.

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13

Walker, James L. Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens. National Aeronautics and Space Administration, 1993.

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14

Xiaomo, Jiang, ed. Intelligent infrastructure: Neural networks, wavelets, and chaos theory for intelligent transportation systems and smart structures. CRC Press, 2008.

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15

Jackson, Tyreek. The improviser and the improvised: The relationship between neural and musical structures, and the role of improvisation. [publisher not identified], 2018.

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16

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. Langley Research Center, 1996.

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17

Technology, Massachusetts Institute of, ed. Head direction cells and the neural mechanisms of spatial orientation. MIT Press, 2005.

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18

Jin, Yaochu. Advanced Fuzzy Systems Design and Applications. Physica-Verlag HD, 2003.

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19

Garcia, Felicidad Marcia. Brain responses to contrastive and noncontrastive morphosyntactic structures in African American English and Mainstream American English: ERP evidence for the neural indices of dialect. [publisher not identified], 2017.

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20

Lee, Giles C., Gori Marco, and International Summer School on Neural Networks (1997 : Salerno, Italy), eds. Adaptive processing of sequences and data structures: International Summer School on Neural Networks "E.R. Caianiello" Vietri sul Mare, Salerno, Italy, September 6-13 1997, tutorial lectures. Springer, 1998.

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21

Çelik, Arzu, and Mathias F. Wernet, eds. Decoding Neural Circuit Structure and Function. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57363-2.

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22

Péter, Érdi, and Szentágothai János, eds. Neural organization: Structure, function, and dynamics. MIT Press, 1998.

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23

Lee, Tsu-Chang. Structure level adaptation for artificial neural networks. Kluwer Academic Publishers, 1991.

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24

Tucker, Don M. Mind from body: Experience from neural structure. Oxford University Press, 2007.

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25

Lee, Tsu-Chang. Structure Level Adaptation for Artificial Neural Networks. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3954-4.

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26

Lee, Tsu-Chang. Structure Level Adaptation for Artificial Neural Networks. Springer US, 1991.

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27

Alnoor, Alhamzah, Khaw Khai Wah, and Azizul Hassan, eds. Artificial Neural Networks and Structural Equation Modeling. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6509-8.

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28

1956-, Hajela Prabhat, and Lewis Research Center, eds. Applications of artificial neural nets in structural mechanics. Lewis Research Center, 1990.

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29

Berke, Laszlo. Applications of artificial neural nets in structural mechanics. Lewis Research Center, 1990.

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30

Bohr, Henrik G. Neural Network Prediction of Protein Structures. Springer-Verlag Telos, 2006.

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31

Shaw, G., and W. Von Seelen. Organization of Neural Networks: Structures and Models. Vch Pub, 1988.

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32

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer Berlin / Heidelberg, 2014.

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33

Ken, Nakayama, Alvarez George, Kanwisher Nancy, and Schacter Daniel, eds. High-level neural structures constrain visual behavior. 2014.

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34

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer, 2012.

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35

Vasquez, Daniel, Rainer Gruhn, and Wolfgang Minker. Hierarchical Neural Network Structures for Phoneme Recognition. Springer, 2012.

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36

Organization of Neural Networks: Structures and Models. Wiley-VCH Verlag GmbH, 1987.

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37

(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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38

Rutkowski, Leszek. Flexible Neuro-Fuzzy Systems: "Structures, Learning And Performance Evaluation". Springer, 2013.

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39

Waszczysznk, Zenon. Neural Networks in the Analysis and Design of Structures. Springer, 2000.

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40

Waszczysznk, Zenon. Neural Networks in the Analysis and Design of Structures. Springer London, Limited, 2014.

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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

Gavrilov, Leonid R. Use of Focused Ultrasound for Stimulation of Various Neural Structures. Nova Science Publishers, Incorporated, 2014.

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43

Won‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.

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44

Won‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.

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45

Won‐Kee Hong. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Taylor & Francis Group, 2023.

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46

Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. CRC Press LLC, 2022.

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47

Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. CRC Press LLC, 2022.

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48

Dong, Tiansi. Geometric Approach to the Unification of Symbolic Structures and Neural Networks. Springer International Publishing AG, 2020.

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49

Dong, Tiansi. Geometric Approach to the Unification of Symbolic Structures and Neural Networks. Springer International Publishing AG, 2021.

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50

Artificial Neural Network-Based Designs of Prestressed Concrete and Composite Structures. Taylor & Francis Group, 2023.

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