Artificial Neural Networks and Machine Learning – ICANN 2013 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mladenov, Valeri (Επιμελητής έκδοσης), Koprinkova-Hristova, Petia (Επιμελητής έκδοσης), Palm, Günther (Επιμελητής έκδοσης), Villa, Alessandro E. P. (Επιμελητής έκδοσης), Appollini, Bruno (Επιμελητής έκδοσης), Kasabov, Nikola (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 8131
• Θέματα: Computer science.; Computers.; Algorithms.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Pattern Recognition.; Information Systems Applications (incl. Internet).; Image Processing and Computer Vision.
• Φυσική περιγραφή: XVIII, 643 p. 231 illus. online resource.
• ISBN: 9783642407284
• ISSN: 0302-9743 ;

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.