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Proceedings of 2016 Chinese Intellig...
~
Clark Conference ((2005 :)
Proceedings of 2016 Chinese Intelligent Systems Conference.[electronic resource] /Volume I
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
006.3
書名/作者:
Proceedings of 2016 Chinese Intelligent Systems Conference./ edited by Yingmin Jia ... [et al.].
其他作者:
Jia, Yingmin.
團體作者:
Clark Conference
出版者:
Singapore : : Springer Singapore :, 2016.
面頁冊數:
x, 640 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Automatic control
標題:
Computer Science.
標題:
Artificial Intelligence (incl. Robotics)
標題:
Robotics and Automation.
標題:
Computational Intelligence.
標題:
Artificial intelligence
標題:
Multiagent systems - Textbooks.
ISBN:
9789811023385
ISBN:
9789811023378
內容註:
New Decoupling Conditions for Arbitrary Systems Based on Transcale Coupling to the Time-Derivative Order -- Implementation of Intelligent Dynamic Tracking Monitoring System for Vehicle Transportation-in Hazardous Goods -- Bearing Fault Diagnosis Based On Hilbert Marginal Spectrum And Supervised Locally Linear Embedding -- Parabola-based flue gas temperature modeling and its application in BTP control of a sintering process -- Abnormal Event Detection Based on Crowd Density Distribution and Social Force Model.
摘要、提要註:
These proceedings present selected research papers from CISC'16, held in Xiamen, China. The topics include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.
電子資源:
http://dx.doi.org/10.1007/978-981-10-2338-5
Proceedings of 2016 Chinese Intelligent Systems Conference.[electronic resource] /Volume I
Proceedings of 2016 Chinese Intelligent Systems Conference.
Volume I[electronic resource] /edited by Yingmin Jia ... [et al.]. - Singapore :Springer Singapore :2016. - x, 640 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v.4041876-1100 ;. - Lecture notes in electrical engineering ;v.107..
New Decoupling Conditions for Arbitrary Systems Based on Transcale Coupling to the Time-Derivative Order -- Implementation of Intelligent Dynamic Tracking Monitoring System for Vehicle Transportation-in Hazardous Goods -- Bearing Fault Diagnosis Based On Hilbert Marginal Spectrum And Supervised Locally Linear Embedding -- Parabola-based flue gas temperature modeling and its application in BTP control of a sintering process -- Abnormal Event Detection Based on Crowd Density Distribution and Social Force Model.
These proceedings present selected research papers from CISC'16, held in Xiamen, China. The topics include Multi-agent system, Evolutionary Computation, Artificial Intelligence, Complex systems, Computation intelligence and soft computing, Intelligent control, Advanced control technology, Robotics and applications, Intelligent information processing, Iterative learning control, Machine Learning, and etc. Engineers and researchers from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.
ISBN: 9789811023385
Standard No.: 10.1007/978-981-10-2338-5doiSubjects--Topical Terms:
137437
Automatic control
LC Class. No.: Q334
Dewey Class. No.: 006.3
Proceedings of 2016 Chinese Intelligent Systems Conference.[electronic resource] /Volume I
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New Decoupling Conditions for Arbitrary Systems Based on Transcale Coupling to the Time-Derivative Order -- Implementation of Intelligent Dynamic Tracking Monitoring System for Vehicle Transportation-in Hazardous Goods -- Bearing Fault Diagnosis Based On Hilbert Marginal Spectrum And Supervised Locally Linear Embedding -- Parabola-based flue gas temperature modeling and its application in BTP control of a sintering process -- Abnormal Event Detection Based on Crowd Density Distribution and Social Force Model.
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