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An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm

Authors :
Bodyanskiy, Yevgeniy V.
Tyshchenko, Oleksii K.
Kopaliani, Daria S.
Source :
I.J. Intelligent Systems and Applications, 2015, 02, 21-26
Publication Year :
2016

Abstract

A modification of the neo-fuzzy neuron is proposed (an extended neo-fuzzy neuron (ENFN)) that is characterized by improved approximating properties. An adaptive learning algorithm is proposed that has both tracking and smoothing properties. An ENFN distinctive feature is its computational simplicity compared to other artificial neural networks and neuro-fuzzy systems.

Subjects

Subjects :
Computer Science - Artificial Intelligence
Computer Science - Neural and Evolutionary Computing

Details

Database :
arXiv
Journal :
I.J. Intelligent Systems and Applications, 2015, 02, 21-26
Publication Type :
Report
Accession number :
edsarx.1610.06483
Document Type :
Working Paper

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