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Intelligent Data Engineering and Automated Learning - IDEAL 2016: Lecture Notes in Computer Science, cartea 9937

Editat de Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
en Limba Engleză Paperback – 13 sep 2016
This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.
The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
 
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Specificații

ISBN-13: 9783319462561
ISBN-10: 3319462563
Pagini: 664
Ilustrații: XVI, 647 p. 209 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.99 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Research outcomes in data engineering and automated learning.- Methodologies, frameworks, and techniques.- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis.- Applications in regression, classification, clustering, medical and biological modeling and predication.- Text processing and image analysis.

Caracteristici

Includes supplementary material: sn.pub/extras