Proceedings of the 2015 Chinese Intelligent Automation Conference

Intelligent Information Processing

AvZhidong Deng,Hongbo Li

Häftad, Engelska, 2016

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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.

Produktinformation

Utgivningsdatum:2016-10-09
Mått:155 x 235 x 33 mm
Vikt:908 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Electrical Engineering
Antal sidor:594
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662525906

Utforska kategorier

Innehållsförteckning

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.

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Proceedings of the 2015 Chinese Intelligent Automation Conference

Intelligent Information Processing

AvZhidong Deng,Hongbo Li

Häftad, Engelska, 2016

Del 336 i serien Lecture Notes in Electrical Engineering

2 197 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Inbunden

2 197 kr

Inbunden

2 197 kr

Beskrivning

Produktinformation

Utgivningsdatum:2016-10-09
Mått:155 x 235 x 33 mm
Vikt:908 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Electrical Engineering
Antal sidor:594
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662525906

Utforska kategorier

Innehållsförteckning

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.