Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-10-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A kind of fuzzy neural networks (FNNs) based on adaptive pattern clustering and feature map (APCFM) is proposed to improve the property of the large delay and time varying of the sintering process.
By using the density clustering and learning vector quantization (LVQ), the sintering process is divided automatically into subclasses which have similar clustering center and labeled fitting number.
Then these labeled subclass samples are taken into fuzzy neural network (FNN) to be trained; this network is used to solve the prediction problem of the burning through point (BTP).
Using the 707 groups of actual training process data and the FNN to train APCFM algorithm, experiments prove that the system has stronger robustness and wide generality in clustering analysis and feature extraction.
American Psychological Association (APA)
Cheng, Wushan. 2008. Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map. Mathematical Problems in Engineering،Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-497715
Modern Language Association (MLA)
Cheng, Wushan. Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map. Mathematical Problems in Engineering No. 2008 (2008), pp.1-9.
https://search.emarefa.net/detail/BIM-497715
American Medical Association (AMA)
Cheng, Wushan. Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map. Mathematical Problems in Engineering. 2008. Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-497715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497715