Proceedings of the 2015 Chinese Intelligent Systems Conference : Volume 2 / edited by Yingmin Jia, Junping Du, Hongbo Li, Weicun Zhang
Contributor(s): Jia, Yingmin, editor literario
| Du, Junping, editor literario | Li, Hongbo, editor literario | Zhang, Weicun, editor literario
Material type: 
E-bookSeries: Lecture Notes in Electrical EngineeringPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2016Edition: 1st ed.Description: 1 recurso en línea (VIII, 469 p.) 212 il. col..ISBN: 9783662483657.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC�15), held in Yangzhou, China. The topics covered include multi-agent systems, 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, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q334 .P763 2016 EB (Browse shelf(Opens below)) | .i11599303 | Acceso electrónico | eBOOK .i11599303 |
This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC�15), held in Yangzhou, China. The topics covered include multi-agent systems, 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, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems
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