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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2017 Springer Fachmedien Wiesbaden GmbH
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-658-16176-7_3
Published:
Publisher Name: Springer, Wiesbaden
Print ISBN: 978-3-658-16175-0
Online ISBN: 978-3-658-16176-7
eBook Packages: EngineeringEngineering (R0)