A mutation-based evolving neural network model and its application to condition monitoring

Data analysis using intelligent systems is a key solution to many industrial problems. In this paper, a mutation-based evolving artificial neural network which is based on an integration of the Fuzzy ARTMAP (FAM) neural network and evolutionary programming (EP), is proposed. The proposed FAM-EP mode...

Full description

Bibliographic Details
Main Authors: Tan, Shing Chiang, Rao, M. V. C., Lim, Chee Peng
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3269/
_version_ 1848790281289203712
author Tan, Shing Chiang
Rao, M. V. C.
Lim, Chee Peng
author_facet Tan, Shing Chiang
Rao, M. V. C.
Lim, Chee Peng
author_sort Tan, Shing Chiang
building MMU Institutional Repository
collection Online Access
description Data analysis using intelligent systems is a key solution to many industrial problems. In this paper, a mutation-based evolving artificial neural network which is based on an integration of the Fuzzy ARTMAP (FAM) neural network and evolutionary programming (EP), is proposed. The proposed FAM-EP model is applied to detect and classify possible faults from a number of sensory signals of a circulating water system in a power generation plant. The efficiency of FAM-EP is assessed and compared with that of the original FAM network in terms Of classification accuracy as well as network complexity. In addition, the bootstrap method is used to quantify the performance statistically. The results positively demonstrate the usefulness of FAM-EP in tackling data classification problems.
first_indexed 2025-11-14T18:10:07Z
format Conference or Workshop Item
id mmu-3269
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:10:07Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling mmu-32692011-10-14T07:15:14Z http://shdl.mmu.edu.my/3269/ A mutation-based evolving neural network model and its application to condition monitoring Tan, Shing Chiang Rao, M. V. C. Lim, Chee Peng T Technology (General) QA75.5-76.95 Electronic computers. Computer science Data analysis using intelligent systems is a key solution to many industrial problems. In this paper, a mutation-based evolving artificial neural network which is based on an integration of the Fuzzy ARTMAP (FAM) neural network and evolutionary programming (EP), is proposed. The proposed FAM-EP model is applied to detect and classify possible faults from a number of sensory signals of a circulating water system in a power generation plant. The efficiency of FAM-EP is assessed and compared with that of the original FAM network in terms Of classification accuracy as well as network complexity. In addition, the bootstrap method is used to quantify the performance statistically. The results positively demonstrate the usefulness of FAM-EP in tackling data classification problems. 2007-11 Conference or Workshop Item NonPeerReviewed Tan, Shing Chiang and Rao, M. V. C. and Lim, Chee Peng (2007) A mutation-based evolving neural network model and its application to condition monitoring. In: 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing , 26-28 NOV 2007, Kaohsiung, TAIWAN. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=W1@241EnM@NdE2@EIgh&page=128&doc=1271
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Tan, Shing Chiang
Rao, M. V. C.
Lim, Chee Peng
A mutation-based evolving neural network model and its application to condition monitoring
title A mutation-based evolving neural network model and its application to condition monitoring
title_full A mutation-based evolving neural network model and its application to condition monitoring
title_fullStr A mutation-based evolving neural network model and its application to condition monitoring
title_full_unstemmed A mutation-based evolving neural network model and its application to condition monitoring
title_short A mutation-based evolving neural network model and its application to condition monitoring
title_sort mutation-based evolving neural network model and its application to condition monitoring
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3269/
http://shdl.mmu.edu.my/3269/