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An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm
Author(s) -
Yevgeniy Bodyanskiy,
Oleksii K. Tyshchenko,
Daria S. Kopaliani
Publication year - 2015
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2015.02.03
Subject(s) - computer science , fuzzy logic , artificial intelligence , algorithm
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.

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