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Artificial Neural Networks

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Intelligent Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 17))

Introduction

Artificial Neural Networks (ANN) are inspired by the way biological neural system works, such as the brain process information. The information processing system is composed of a large number of highly interconnected processing elements (neurons) working together to solve specific problems. ANNs, just like people, learn by example. Similar to learning in biological systems, ANN learning involves adjustments to the synaptic connections that exist between the neurons.

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Grosan, C., Abraham, A. (2011). Artificial Neural Networks. In: Intelligent Systems. Intelligent Systems Reference Library, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21004-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-21004-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21003-7

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