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Artificial neural networks and machi...
~
(1998 :)
Artificial neural networks and machine learning - ICANN 201424th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial neural networks and machine learning - ICANN 2014edited by Stefan Wermter ... [et al.].
Reminder of title:
24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /
remainder title:
ICANN 2014
other author:
Wermter, Stefan.
corporate name:
Published:
Cham :Springer International Publishing :2014.
Description:
xxvi, 852 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Neural networks (Computer science)
Online resource:
http://dx.doi.org/10.1007/978-3-319-11179-7
ISBN:
9783319111797 (electronic bk.)
Artificial neural networks and machine learning - ICANN 201424th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /
Artificial neural networks and machine learning - ICANN 2014
24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /[electronic resource] :ICANN 2014edited by Stefan Wermter ... [et al.]. - Cham :Springer International Publishing :2014. - xxvi, 852 p. :ill., digital ;24 cm. - Lecture notes in computer science,86810302-9743 ;. - Lecture notes in computer science ;4891..
ISBN: 9783319111797 (electronic bk.)Subjects--Topical Terms:
181982
Neural networks (Computer science)
Dewey Class. No.: 006.32
Artificial neural networks and machine learning - ICANN 201424th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /
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24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014 : proceedings /
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Computer Science (Springer-11645)
based on 0 review(s)
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000000104760
電子館藏
1圖書
電子書
EB QA76.87 I15 2014
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0
1 records • Pages 1 •
1
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http://dx.doi.org/10.1007/978-3-319-11179-7
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