Multilayer Neural Networks

  • Eduard Aved’yan
Chapter

Abstract

Multilayer neural networks are typical learning systems. Here we can find all the necessary components of a learning system: a performance index, a memory, and learning algorithms. Being designed according to the principles of their biological analogues, multilayer neural networks (MNN) are able to solve a wide range of problems in pattern recognition [1], identification [2], control of complex dynamical non-linear systems [3], [4], robot control [5], etc.

Keywords

Hide Layer Activation Function Multilayer Neural Network Binary Input Projection Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • Eduard Aved’yan
    • 1
  1. 1.Institute of Control SciencesLaboratory 07Profsoyuznaja 65MoscowRussia

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