Cover Image

Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement

Fuzzy Neural Networks consider one of the most important computational tools which are applied in many areas such as classification, pattern recognition and medical diagnosis. The learning process is very crucial for fuzzy neural network to be powerful in solving problems. In this study, a hybrid bl...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd. Hashim, Siti Zaiton, A. Hamed, Zakaria
Format: Conference or Workshop Item
Published: 2012
Online Access:http://eprints.utm.my/id/eprint/34106/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.34106
record_format eprints
spelling my.utm.341062017-09-07T04:19:41Z http://eprints.utm.my/id/eprint/34106/ Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement Mohd. Hashim, Siti Zaiton A. Hamed, Zakaria Fuzzy Neural Networks consider one of the most important computational tools which are applied in many areas such as classification, pattern recognition and medical diagnosis. The learning process is very crucial for fuzzy neural network to be powerful in solving problems. In this study, a hybrid black stork foraging process based on particle swarm optimization (BSFP-PSO) is used to enhance the learning of new existing approach of fuzzy neural network called functional neural fuzzy network (FNFN). Classification problem have been adopted to assess the performance of the new proposed model black stork foraging process hybrid particle swarm optimization and functional neural fuzzy network. In conclusion, the experimental results have shown that the performance of the proposed model is better than the performance of standard particle swarm optimization with functional neural fuzzy network for solving Iris and Breast cancer classification in terms of error rate and classification accuracy. 2012 Conference or Workshop Item PeerReviewed Mohd. Hashim, Siti Zaiton and A. Hamed, Zakaria (2012) Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement. In: 2012 IEEE International Conference on Systems, Man & Cybernetics.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
description Fuzzy Neural Networks consider one of the most important computational tools which are applied in many areas such as classification, pattern recognition and medical diagnosis. The learning process is very crucial for fuzzy neural network to be powerful in solving problems. In this study, a hybrid black stork foraging process based on particle swarm optimization (BSFP-PSO) is used to enhance the learning of new existing approach of fuzzy neural network called functional neural fuzzy network (FNFN). Classification problem have been adopted to assess the performance of the new proposed model black stork foraging process hybrid particle swarm optimization and functional neural fuzzy network. In conclusion, the experimental results have shown that the performance of the proposed model is better than the performance of standard particle swarm optimization with functional neural fuzzy network for solving Iris and Breast cancer classification in terms of error rate and classification accuracy.
format Conference or Workshop Item
author Mohd. Hashim, Siti Zaiton
A. Hamed, Zakaria
spellingShingle Mohd. Hashim, Siti Zaiton
A. Hamed, Zakaria
Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
author_facet Mohd. Hashim, Siti Zaiton
A. Hamed, Zakaria
author_sort Mohd. Hashim, Siti Zaiton
title Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
title_short Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
title_full Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
title_fullStr Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
title_full_unstemmed Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement
title_sort hybrid pso-black stork foraging for functional neural fuzzy network learning enhancement
publishDate 2012
url http://eprints.utm.my/id/eprint/34106/
_version_ 1643649514305748992
score 13.211869

Similar Items