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An outline of artificial neural networks

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Reverse Engineering the Mind

Part of the book series: AutoUni – Schriftenreihe ((AUS,volume 94))

Abstract

Here we will have a closer look at some of the fundamental concepts and current standards in the field of computational intelligence (CI), which are particularized under the consideration of actual knowledge and research conducted. The focus is on artificial neural networks, as I consider them, together with Markov models, as one of the most valuable means for developing learning software. Artificial neural networks are not only applicable within the field of data mining (see 6.1 Analysis), but can make a software system capable of understanding and solving a presented problem statement through learning.

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Correspondence to Florian Neukart .

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© 2017 Springer Fachmedien Wiesbaden GmbH

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Neukart, F. (2017). An outline of artificial neural networks. In: Reverse Engineering the Mind. AutoUni – Schriftenreihe, vol 94. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-16176-7_3

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  • DOI: https://doi.org/10.1007/978-3-658-16176-7_3

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  • Publisher Name: Springer, Wiesbaden

  • Print ISBN: 978-3-658-16175-0

  • Online ISBN: 978-3-658-16176-7

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