NDLI: Predicting mechanical properties of hot-rolling steel by using RBF network method based on complex network theory

Content Provider	IEEE Xplore Digital Library
Author	Bin Wu Wenbo Ma Tian Zhu Juan Yang
Copyright Year	2010
Description	Author affiliation: Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China (Bin Wu; Wenbo Ma; Tian Zhu; Juan Yang)
Abstract	Recently, producing high-precision and high-quality steel products becomes the major aim of the large-scale iron and steel enterprises. Because of the internal multiplex components of products and complex changes in the production process, it is too difficult to achieve precise control in hot rolling production process. In this paper, radial basis function neural network is used to complete performance prediction. It has the advantage of fast training and high accuracy, and overcomes shortcomings of BP neural network used previously, such as local minimum. When determining the center of radial basis function we make use of complex network visualization which can clearly figure out the relationship between input vectors and receive the center and width according to the relationship of the nodes. Experiments show that the method that is combining community discovery algorithm and RBF enjoy high stability, small training time which means to be suitable to analysis large-scale data. More importantly, it can reach high accuracy.
Starting Page	1759
Ending Page	1763
File Size	440390
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584387
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Communities Clustering algorithms Complex networks Artificial neural networks Prediction algorithms Steel
Content Type	Text
Resource Type	Article

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