Notice bibliographique
- Notice
000 nam 22 3 450
001 FRBNF447078610000001
010 .. $a 9783642407284
035 .. $a OCoLC861540909
100 .. $a 20170801d2013 m y0gery50 ba
101 0. $a eng
102 .. $a DE
105 .. $a y z 00|y|
106 .. $a s $a z
135 .. $a dru||||||||||
181 .0 $6 01 $a i $b xxxe
181 .. $6 02 $c txt $2 rdacontent
182 .0 $6 01 $a b
182 .. $6 02 $c c $2 rdamedia
200 1. $a Artificial Neural Networks and Machine Learning - ICANN 2013 $b Texte électronique $e 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September
10-13, 2013. Proceedings $f edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E.P.
Villa, Bruno Appollini, Nikola Kasabov
210 .. $a Berlin, Heidelberg $c Springer Berlin Heidelberg $d 2013
215 .. $a 1 ressource dématérialisée
225 19 $a Artificial neural networks and machine learning
225 1. $a Lecture Notes in Computer Science $v 8131
225 1. $a SpringerLink $e Bücher
330 .. $a The book constitutes the proceedings of the 23rd International Conference on Artificial
Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers
included in the proceedings were carefully reviewed and selected from 128 submissions.
The focus of the papers is on following topics:neurofinance graphical network models,
brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems,
neuroinformatics, neuroengineering, hybrid systems, computational biology, neural
hardware, bioinspired embedded systems, and collective intelligence
676 .. $a 006.3 $v 23
801 .3 $a US $b OCoLC $c 20170801 $h 861540909 $2 marc21
801 .0 $b SzZUIDS
930 .. $5 FR-759999999:44707861001001 $a ACQNUM-89627 $b 759999999 $c Document numérisé $d N
