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An Introduction to Brain Emotional Learning inspired Models (BELiMs): with an Example of BELiMs’ Application
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. McGill University . (Skövde Artificial Intelligence Lab (SAIL))
2017 (English)In: Artificial Intelligence Review, ISSN 0269-2821, E-ISSN 1573-7462Article in journal (Refereed) Published
Abstract [en]

Brain Emotional Learning-inspired Models(BELiMs)canbeviewed as a new category of computational intelligence (CI) paradigms. The general structure of BELiMs is based on the neural structure of the emotion sys- tem which processes and evaluates fear-induced stimuli, to produce emotional responses. The function of a BELiM is implemented by assigning adaptive networks to different parts of the general structure. The primary motivation for developing BELiMs is to address model and time complexity issues asso- ciated with artificial neural networks and neuro-fuzzy methods. BELiMs are categorised as machine learning tools and could be utilised for chaotic time series prediction and have outperformed the performance of the conventional CI models for this type of problem. This paper explains historical, theoretical, structural and functional aspects of BELiMs. It also presents the obtained results from BELiMs as time series prediction models.

Place, publisher, year, edition, pages
2017.
National Category
Engineering and Technology
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-13944OAI: oai:DiVA.org:his-13944DiVA: diva2:1128555
Available from: 2017-07-26 Created: 2017-07-26 Last updated: 2017-08-08

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Parsapoor, Mahboobeh
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