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Artificial Neural Networks

  • Alan Julian Izenman
Part of the Springer Texts in Statistics book series (STS)

Abstract

The learning technique of artificial neural networks (ANNs, or just neural networks or NNs) is the focus of this chapter. The development of ANNs evolved in periodic “waves” of research activity. ANNs were influenced by the fortunes of the fields of artificial intelligence and expert systems, which sought to answer questions such as: What makes the human brain such a formidable machine in processing cognitive thought? What is the nature of this thing called “intelligence” ? And, how do humans solve problems?

Keywords

Markov Chain Monte Carlo Hide Node Output Node Cover Image Connection Weight 
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 Science+Business Media New York 2013

Authors and Affiliations

  • Alan Julian Izenman
    • 1
  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA

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