Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
435577018 Druckausg.: ‡: Proceedings of the 2015 Chinese Intelligent Automation Conference ; [info]: Intelligent information processing |
817382232 Druckausg.: ‡Proceedings of the 2015 Chinese Intelligent Automation Conference |
ISBN |
978-3-662-46468-7 |
Name |
Deng, Zhidong |
Li, Hongbo ¬[Hrsg.]¬ |
Name ANZEIGE DER KETTE |
Li, Hongbo ¬[Hrsg.]¬ |
T I T E L |
Proceedings of the 2015 Chinese Intelligent Automation Conference |
Zusatz zum Titel |
Intelligent Information Processing |
Verlagsort |
Berlin, Heidelberg ; s.l. |
Verlag |
Springer Berlin Heidelberg |
Erscheinungsjahr |
2015 |
2015 |
Umfang |
Online-Ressource (X, 594 p. 281 illus, online resource) |
Reihe |
Lecture Notes in Electrical Engineering ; 336 |
Notiz / Fußnoten |
Description based upon print version of record |
Weiterer Inhalt |
Robust Covariance Intersection Fusion Steady-state Kalman Filter with Uncertain ParametersAn 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. |
Titelhinweis |
Druckausg.: ‡: Proceedings of the 2015 Chinese Intelligent Automation Conference ; [info]: Intelligent information processing |
Druckausg.: ‡Proceedings of the 2015 Chinese Intelligent Automation Conference |
ISBN |
ISBN 978-3-662-46469-4 |
Klassifikation |
TEC004000 |
TJFM1 |
TEC037000 |
629.892 |
TJ210.2-211.495 |
T59.5 |
Kurzbeschreibung |
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. |
2. Kurzbeschreibung |
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. |
1. Schlagwortkette |
Automatisierungstechnik |
Lernendes System |
ANZEIGE DER KETTE |
Automatisierungstechnik -- Lernendes System |
SWB-Titel-Idn |
430178581 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-662-46469-4 |
Internetseite / Link |
Volltext |
Siehe auch |
Volltext |
Siehe auch |
Cover |