An edition of Advances in Neural Networks – ISNN 2014 (2014)

Advances in Neural Networks – ISNN 2014

11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- ...

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Cover of: Advances in Neural Networks – ISNN 2014 by Zhigang Zeng, Yangmin Li, Irwin King, Zhigang Zeng, Yangmin Li, Irwin King
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Last edited by MARC Bot
August 9, 2024 | History
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An edition of Advances in Neural Networks – ISNN 2014 (2014)

Advances in Neural Networks – ISNN 2014

11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- ...

by , , and

The LNCS volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014.   The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research, with particular focus on analysis, modeling, and applications.

Publish Date
Publisher
Springer
Pages
665

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Subjects

Neural networks (computer science) Computer science Computer software Computer vision Artificial Intelligence (incl. Robotics) Pattern perception Data mining Artificial intelligence Optical pattern recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision Algorithm Analysis and Problem Complexity Mathematical Models of Cognitive Processes and Neural Networks
Edition Availability
Cover of: Advances in Neural Networks – ISNN 2014
Advances in Neural Networks – ISNN 2014: 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- ...
Nov 03, 2014, Springer
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Book Details

Edition Notes

Source title: Advances in Neural Networks – ISNN 2014: 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- ... (Lecture Notes in Computer Science (8866))

Classifications

Library of Congress
QA75.5-76.95, Q337.5, TK7882.P3

The Physical Object

Format
paperback
Number of pages
665

Edition Identifiers

Open Library
OL27993444M
ISBN 10
3319124358
ISBN 13
9783319124353

Work Identifiers

Work ID
OL20702533W

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