An outline of artificial neural networks

  • Florian NeukartEmail author
Part of the AutoUni – Schriftenreihe book series (AUS, volume 94)


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.


Artificial Neural Network Hide Layer Activation Function Hide Neuron Output Neuron 
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 Fachmedien Wiesbaden GmbH 2017

Authors and Affiliations

  1. 1.AutoUniWolfsburgGermany

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