Genetically optimized hybrid fuzzy set based polynomial neural networks
type: Item
instance of: scholarly article
title: Genetically optimized hybrid fuzzy set based polynomial neural networks
zbMATH Open document ID: 1208.92002
author: Sung-Kwun Oh
author: Witold Pedrycz
author: Seok-Beom Roh
published in: Journal of the Franklin Institute
publication date: 2011-03-22T00:00:00Z
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5869053
describes a project that uses: ANFIS
describes a project that uses: Genocop
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2010.11.005
OpenAlex ID: W2041461917
cites work: The design of self-organizing polynomial neural networks
cites work: Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms
cites work: Discrete-time recurrent high order neural networks for nonlinear identification
cites work: Auto-structuring fuzzy neural system for intelligent control
cites work: A novel intelligent method for task scheduling in multiprocessor systems using genetic algorithm
cites work: Q4873721
cites work: HYBRID FUZZY POLYNOMIAL NEURAL NETWORKS
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.
DOI: 10.1016/J.JFRANKLIN.2010.11.005
description: scientific article; zbMATH DE number 5869053