An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm
Artificial Intelligence
2016-10-21 v1 Neural and Evolutionary Computing
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.
Cite
@article{arxiv.1610.06483,
title = {An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm},
author = {Yevgeniy V. Bodyanskiy and Oleksii K. Tyshchenko and Daria S. Kopaliani},
journal= {arXiv preprint arXiv:1610.06483},
year = {2016}
}