NDLI: Application of Cluster Analysis Neural Network in the Safety Evaluation for the Urban Underground Gas Pipeline

Content Provider	IEEE Xplore Digital Library
Author	Lingxiang Zhu Liang Zou
Copyright Year	2006
Description	Author affiliation: Dept. of Appl. Math., South China Agric. Univ., Guangzhou (Lingxiang Zhu)
Abstract	Aiming at the need of work to protect the urban underground gas pipeline, this paper puts forward the model of the safety evaluation based on artificial neural network. To overcome the unilateralism that was brought by only depending on the experts' experience to select the learning samples of artificial neural network, this model applied clustering analysis method in the selection of learning samples. This model also generally simulates the relation between corrosion extent of the urban underground gas pipeline and the genes that influence them. Finally the developed model was implemented with the real urban underground gas pipeline data of Shenzhen City. The test result indicate that this model can truly evaluate the pipeline's corrosion extent and the identify ratio is more than 90%
Starting Page	2845
Ending Page	2849
File Size	242513
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Intelligent networks Safety Pipelines Artificial neural networks Educational institutions Corrosion Mathematics Telecommunication traffic Traffic control cluster analysis neural network model of safety evaluation sampled data
Content Type	Text
Resource Type	Article

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