Intelligent Data Engineering and Automated Learning - IDEAL 2016 (eBook, PDF)

17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings
Redaktion: Yin, Hujun; Tallón-Ballesteros, Antonio J.; Klawonn, Frank; Li, Yun; Yang, Ming; Zhang, Daoqiang; Li, Bin; Gao, Yang

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 647
• Erscheinungstermin: 12. September 2016
• Englisch
• ISBN-13: 9783319462578
• Artikelnr.: 46929211

Inhaltsangabe

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.