Chapter
Apr 26, 2012
Research on Fuzzy-Neural Network Based on Magnetic Markers Guidance System
Publication: Applications of Advanced Technologies in Transportation Engineering (2004)
Abstract
The intelligent vehicle based on magnetic markers system is researched as the background. A fuzzy-neural network controller is designed, and the changeable area and hierarchical genetic algorithm and BP algorithm are hanged together. The fuzzy-neural network controller is trained by predigest two-wheel model. The result from simulation shows that the fuzzy-neural network controller is more astringency than fuzzy controller.
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Published In
Applications of Advanced Technologies in Transportation Engineering (2004)
Pages: 355 - 360
Copyright
© 2004 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Authors
Affiliations
Chaozhong Wu, Ph.D.
Intelligent Transport System Center, Wuhan University of Technology, No 1040 Heping Road, Yu Jia Tou Campus, Wuhan, Hubei 430063
Xinping Yan, Ph.D.
Professor, Wuhan University of Technology, No 1040 Heping Road, Yu Jia Tou Campus, Wuhan, Hubei 430063
Qiang Li, Ph.D.
P.E.
Daniel Consultants, Inc., 3624 Hollow Fields Court, Ellicott City, Maryland, 21043
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.