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Neural Networks Historical Review

  • D. Andina
  • A. Vega-Corona
  • J. I. Seijas
  • J. Torres-Garcìa
Chapter
  • 1k Downloads

This chapter starts with a historical summary of the evolution of Neural Networks from the first models which are very limited in application capabilities to the present ones that make possible to think in applying automatic process to tasks that formerly had been reserved to the human intelligence. After the historical review, Neural Networks are dealt from a computational point of view. This perspective helps to compare Neural Systems with classical Computing Systems and leads to a formal and common presentation that will be used throughout the book

Keywords

Neural Network Artificial Neural Network Output Layer Input Vector Little Mean Square 
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Copyright information

© Springer 2007

Authors and Affiliations

  • D. Andina
    • 1
  • A. Vega-Corona
    • 2
  • J. I. Seijas
    • 3
  • J. Torres-Garcìa
    • 3
  1. 1.Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)Universidad Politècnica de Madrid (UPM)Ciudad Universitaria C.P. 28040España
  2. 2.Facultad de Ingenierìa, Mecànica, Elèctrica y Electrònica (FIMEE)Universidad de Guanajuato (UG)SalamancaMèxico
  3. 3.Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)Universidad Politècnica de Madrid (UPM)Ciudad Universitaria C.P. 28040España

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