Citation

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	14 Oct 2011 07:15
Last Modified:	14 Oct 2011 07:15
URII:	http://shdl.mmu.edu.my/id/eprint/3269

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