
Proceedings of the 2015 Chinese Intelligent Automation Conference
Intelligent Information Processing
Springer (Publisher)
Published on 8. April 2015
Book
Hardback
XI, 594 pages
978-3-662-46468-7 (ISBN)
Description
Proceedings of the 2015 Chinese Intelligent Automation Conference presents selected research papers from the CIAC'15, held in Fuzhou, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, etc. Engineers and researchers from academia, industry and the government can gain valuable insights into interdisciplinary solutions in the field of intelligent automation.
More details
Series
Edition
2015 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
281 s/w Abbildungen
XI, 594 p. 281 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 38 mm
Weight
1068 gr
ISBN-13
978-3-662-46468-7 (9783662464687)
DOI
10.1007/978-3-662-46469-4
Schweitzer Classification
Other editions
Additional editions

Zhidong Deng | Hongbo Li
Proceedings of the 2015 Chinese Intelligent Automation Conference
Intelligent Information Processing
Book
10/2016
Springer
€213.99
Shipment within 7-9 days

Zhidong Deng | Hongbo Li
Proceedings of the 2015 Chinese Intelligent Automation Conference
Intelligent Automation
E-Book
04/2015
1st Edition
Springer
€213.99
Available for download

Zhidong Deng | Hongbo Li
Proceedings of the 2015 Chinese Intelligent Automation Conference
Intelligent Information Processing
E-Book
04/2015
1st Edition
Springer
€213.99
Available for download

Zhidong Deng | Hongbo Li
Proceedings of the 2015 Chinese Intelligent Automation Conference
Intelligent Technology and Systems
E-Book
04/2015
1st Edition
Springer
€213.99
Available for download
Content
Robust Covariance Intersection Fusion Steady-state Kalman Filter with Uncertain Parameters.- An Improved GAFSA Based on Chaos Search and Modified Simplex Method.- Tea Leaves Classification Based on Texture Analysis.- An underwater image classification algorithm based on PCA and D-S evidence theory.