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Books on the topic 'Neural networks architecture'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

1947-, Holden Arun V., and Kri͡ukov V. I. 1935-, eds. Neural networks: Theory and architecture. Manchester University Press, 1990.

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2

Rietman, Ed. Experiments in artificial neural networks. Tab Books, 1988.

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3

Dayhoff, Judith E. Neural network architectures: An introduction. Van Nostrand Reinhold, 1990.

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4

C, Jain L., and Johnson R. P, eds. Automatic generation of neural network architecture using evolutionary computation. World Scientific, 1997.

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5

United States. National Aeronautics and Space Administration., ed. A neural network architecture for implementation of expert sytems for real time monitoring. University of Cincinnati, College of Engineering, 1991.

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6

United States. National Aeronautics and Space Administration., ed. A novel approach to noise-filtering based on a gain-scheduling neural network architecture. National Aeronautics and Space Administration, 1994.

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7

Cios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.

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8

Cios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.

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9

Cios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.

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10

Cios, Krzysztof J. Self-growing neural network architecture using crisp and fuzzy entropy. National Aeronautics and Space Administration, 1992.

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11

Baram, Yoram. Ground-state coding in partially connected neural networks. National Aeronautics and Space Administration, Ames Research Center, 1989.

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12

Baram, Yoram. Ground-state coding in partially connected neural networks. National Aeronautics and Space Administration, Ames Research Center, 1989.

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13

Center, Ames Research, ed. Ground-state coding in partially connected neural networks. National Aeronautics and Space Administration, Ames Research Center, 1989.

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14

Bostock, Richard Thomas John. The impact of architecture on the performance of artificial neural networks. Aston University. Department of Computer Science and Applied Mathematics, 1994.

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15

IEE International Conference on Artificial Neural Networks (3rd 1993 Brighton Conference Centre, Brighton, England). Third International Conference on Artificial Neural Networks: 25-27 May 1993. Institution of Electrical Engineers, 1993.

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16

1921-, Caianiello Eduardo R., International Institute for Advanced Scientific Studies., and Workshop on Parallel Architectures and Neural Networks (2nd : 1989 : Vietri sul Mare, Italy), eds. Parallel architectures and neural networks: Second Italian workshop, Vietri sul Mare, Salerno, 26-28 April 1989. World Scientific, 1990.

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17

1921-, Caianiello Eduardo R., and International Institute for Advanced Scientific Studies., eds. Parallel architectures and neural networks: First Italian workshop, Vietri sul Mare, Salerno, 27-29 April 1988. World Scientific, 1989.

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18

T, Leondes Cornelius, ed. Control and dynamic systems. Academic Press, 1998.

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19

IEEE International Workshop on Tools for Artificial Intelligence (1st 1989 Fairfax, Va.). Architectures, languages, and algorithms. IEEE Computer Society Press, 1989.

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20

Antony, Browne, ed. Neural network analysis, architectures, and applications. Institute of Physics Pub., 1997.

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21

Browne, A. Neural Network Analysis, Architectures and Applications. CRC Press, 2024. https://doi.org/10.1201/9781003572886.

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22

Fausett, Laurene V. Fundamentals of neural networks: Architectures, algorithms and applications. Prentice-Hall International, 1994.

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23

Alsuhli, Ghada, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad, and Thanos Stouraitis. Number Systems for Deep Neural Network Architectures. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-38133-1.

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24

N, Sundararajan, and Saratchandran P, eds. Parallel architectures for artificial neural networks: Paradigms and implementations. IEEE Computer Society, 1998.

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25

Teuscher, Christof. Turing's connectionism: An investigation of neural network architectures. Springer, 2002.

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26

Delgado-Frias, José G. VLSI for Artificial Intelligence and Neural Networks. Springer US, 1991.

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27

1940-, Koizumi Tetsunori, Lasker G. E. 1935-, Pohl Jens G, International Institute for Advanced Studies in Systems Research and Cybernetics., and International Symposium on Systems Research, Informatics and Cybernetics (3rd : 1991 : Baden-Baden, Germany), eds. Advances in human systems and information technologies: Human ecology, evolution of science and technology, knowledge-based systems, neural networks, cognitive systems, systems methodologies, architecture, computer integrated manufacturing, computer-user partnership in design. International Institute for Advanced Studies in Systems Research and Cybernetics, 1992.

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28

Shishkin, Aleksey. Methods of digital processing and speech recognition. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1904325.

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Abstract:

The monograph discusses the theory, algorithms and practical methods of implementing digital processing and recognition of speech signals. The basics of mathematical analysis of digital signals necessary for speech processing are presented. The acoustic theory of speech formation with the construction of a general discrete model is briefly described. The main characteristic features of speech signals, as well as methods of their isolation are considered. Hidden Markov models and the architecture of traditional recognition systems based on them are described in detail. Weighted finite converters used to increase the efficiency and speed up the process of decoding acoustic signals are considered. The main architectures of artificial neural networks and examples of integrated (end-to-end) speech recognition systems based on them are presented. It is intended for students, postgraduates, researchers and specialists dealing with speech signal processing, pattern recognition and artificial intelligence.

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29

W, Merrill, and United States. National Aeronautics and Space Administration., eds. Analysis of fault-tolerant neurocontrol architectures. National Aeronautics and Space Administration, 1992.

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30

Tolle, H. Neurocontrol: Learning control systems inspired by neuronal architectures and human problem solving strategies. Springer-Verlag, 1992.

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31

Lim, Chee Peng. Probabilistic fuzzy ARTMAP: An autonomous neural network architecture for Bayesian probability estimation. University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.

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32

1921-, Caianiello Eduardo R., International Institute for Advanced Scientific Studies., and Workshop on Parallel Architectures and Neural Networks (4th : 1991 : Vietri sul Mare, Italy), eds. Parallel architectures and neural networks: Fourth Italian workshop, Vietri sul Mare, Salerno, 8-10 May 1991. World Scientific, 1991.

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33

1921-, Caianiello Eduardo R., International Institute for Advanced Scientific Studies., and Workshop on Parallel Architectures and Neural Networks (3rd : 1990 : Vietri sul Mare, Italy), eds. Parallel architectures and neural networks: Third Italian workshop, Vietri sul Mar, Salerno, 15-18 May, 1990. World Scientific, 1990.

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34

Lim, Chee Peng. A Multiple neural network architecture for sequential evidence aggregation and incomplete data classification. Univeristy of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.

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35

korkeakoulu, Teknillinen, ed. High-performance packet switching architecture for ATM: Conventional solution and neural network solution. Helsinki University of Technology, 1994.

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36

Holden, Arun V. Neural Networks - Theory and Architecture. John Wiley & Sons, 1992.

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37

Wechsler, Harry. Neural Networks for Perception: Computation, Learning, and Architecture (Neural Networks for Perception). Academic Pr, 1991.

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38

Wechsler, Harry. Neural Networks for Perception: Computation, Learning, and Architecture (Neural Networks for Perception). Academic Pr, 1991.

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39

Neural Network Architectures: An Introduction. Van Nostrand Reinhold, 1989.

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40

Holden, Arun V. Neural Networks: Theory and Architecture (Proceedings in Nonlinear Science). Manchester Univ Pr, 1990.

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41

Caianiello, E. R. Parallel Architectures and Neural Networks: First Italian Workshop. World Scientific Pub Co Inc, 1989.

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42

Automatic Generation of Neural Network Architecture Using Evolutionary Computation. World Scientific Publishing Co Pte Ltd, 1997.

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43

Jain, L. C. Automatic Generation of Neural Network Architecture Using Evolutionary Computation. World Scientific Publishing Co Pte Ltd, 1997.

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44

Wermter, Stefan, David Willshaw, and Jim Austin. Emergent Neural Computational Architectures Based on Neuroscience: Towards Neuroscience-Inspired Computing. Springer London, Limited, 2006.

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45

(Editor), Omid M. Omidvar, and Charles L. Wilson (Editor), eds. Progress in Neural Networks: Architecture (Vol 5. Issn 1055-713x). Intellect L & D E F a E, 1997.

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46

Algorithms and architectures. Academic Press, 1998.

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47

A novel approach to noise-filtering based on a gain-scheduling neural network architecture. National Aeronautics and Space Administration, 1994.

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48

Sarang, Poornachandra. Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects. Apress L. P., 2020.

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49

Braspenning, P. J., and F. Thuijsman. Artificial Neural Networks: An Introduction to Ann Theory and Practice (Lecture Notes in Computer Science). Springer, 1995.

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50

Leondes, Cornelius T. Algorithms and Architectures. Elsevier Science & Technology Books, 1998.

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