Engineering applications of neural networks : 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015. Proceedings /

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Bibliographic Details
Meeting name:	EANN (Conference) (16th : 2015 : Rhodes, Greece)
Imprint:	Cham : Springer, 2015.
Description:	1 online resource (xxviii, 402 pages) : illustrations.
Language:	English
Series:	Communications in Computer and Information Science, 1865-0929 ; 517 Communications in computer and information science ; 517.
Subject:	Neural networks (Computer science) -- Congresses. Computer science. Data mining. Artificial intelligence. Pattern perception. Application software. Computational intelligence. Application software. Artificial intelligence. Computational intelligence. Computer science. Data mining. Neural networks (Computer science) Pattern perception. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11096944

Hidden Bibliographic Details
Other authors / contributors:	Iliadis, Lazaros, editor. Jayne, Chrisina, editor.
ISBN:	9783319239835 331923983X 9783319239811 3319239813 9783319239811
Digital file characteristics:	text file PDF
Notes:	English.
Summary:	This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. The 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial engineering applications of Artificial Neural Networks (ANN), bioinformatics, intelligent medical modeling, life/earth sciences intelligent modeling, learning algorithms, intelligent telecommunications modeling, fuzzy modeling, robotics and control, smart cameras, pattern recognition and facial mapping, classification, financial intelligent modeling, and echo state networks.
Other form:	Printed edition: 9783319239811
Standard no.:	10.1007/978-3-319-23983-5

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