A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization
type: Item
instance of: scholarly article
title: A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization
zbMATH Open document ID: 1345.92015
author: Sung-Kwun Oh
author: Witold Pedrycz
published in: Physics Letters. A
publication date: 2008-08-20T00:00:00Z
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5314182
zbMATH Keywords: fuzzy polynomial neural networks
zbMATH Keywords: multi-layer perceptron
zbMATH Keywords: computational intelligence (CI)
zbMATH Keywords: fuzzy polynomial neuron
zbMATH Keywords: genetic optimization
describes a project that uses: Genocop
MaRDI profile type: Publication
full work available at URL: j.physleta.2005.06.100
OpenAlex ID: W1997422071
cites work: Ten years of genetic fuzzy systems: Current framework and new trends.
cites work: Q4873721
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cites work: Predicting a chaotic time series using a fuzzy neural network
cites work: Automatic structure and parameter training methods for modeling of mechanical systems by recurrent neural networks.
cites work: Oscillation and Chaos in Physiological Control Systems
cites work: The design of self-organizing polynomial neural networks
DOI: 10.1016/J.PHYSLETA.2005.06.100
description: scientific article; zbMATH DE number 5314182