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Neural Networks and Micromechanics pp 7–25Cite as

Classical Neural Networks

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Abstract

Dring the last few decades, neural networks have moved from theory to offering solutions for industrial and commercial problems. Many people are interested in neural networks from many different perspectives. Engineers use them to build practical systems to solve industrial problems. For example, neural networks can be used for the control of industrial processes. There are many publications that relate to the neural network theme. Every year, tens or even hundreds of international conferences, symposiums, congresses, and seminars take place in the world. As an introduction to this theme we can recommend the books of Robert Hecht-Nielsen [1], Teuvo Kohonen [2], and Philip Wasserman [3], and a more advanced book that is oriented on the applications of neural networks and is edited by A. Browne [4]. In this book it is assumed that the reader has some previous knowledge of neural networks and an understanding of their basic mechanisms. In this section we want to present a very short introduction to neural networks and to highlight the most important moments in neural network development.

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Authors and Affiliations

  1. Center of Applied Research and Technological Development, Autonomous National University of Mexico (UNAM), Mexico, Mexico

    Prof. Ernst Kussul & Prof. Tatiana Baidyk

  2. Dept. of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, USA

    Prof. Donald C. Wunsch II

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  1. Prof. Ernst Kussul
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  2. Prof. Tatiana Baidyk
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  3. Prof. Donald C. Wunsch II
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Kussul, E., Baidyk, T., Wunsch, D.C. (2010). Classical Neural Networks. In: Neural Networks and Micromechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02535-8_2

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