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Artificial neural networks and machi...
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Clark Conference ((2005 :)
Artificial neural networks and machine learning - ICANN 2016[electronic resource] :25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings.Part II /
Record Type:
Electronic resources : Monograph/item
[NT 15000414]:
006.32
Title/Author:
Artificial neural networks and machine learning - ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings./ edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero.
remainder title:
ICANN 2016
other author:
Villa, Alessandro E.P.
corporate name:
Clark Conference
Published:
Cham : : Springer International Publishing :, 2016.
Description:
xxix, 557 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
Subject:
Neural networks (Computer science)
Subject:
Computer Science.
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computation by Abstract Devices.
Subject:
Algorithm Analysis and Problem Complexity.
Subject:
Pattern Recognition.
Subject:
Information Systems Applications (incl. Internet)
Subject:
Image Processing and Computer Vision.
ISBN:
9783319447810
ISBN:
9783319447803
[NT 15000228]:
Deep Learning -- Classification and Forecasting -- Recognition and Navigation.
[NT 15000229]:
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
Online resource:
http://dx.doi.org/10.1007/978-3-319-44781-0
Artificial neural networks and machine learning - ICANN 2016[electronic resource] :25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings.Part II /
Artificial neural networks and machine learning - ICANN 2016
25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings.Part II /[electronic resource] :ICANN 2016edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero. - Cham :Springer International Publishing :2016. - xxix, 557 p. :ill., digital ;24 cm. - Lecture notes in computer science,98870302-9743 ;. - Lecture notes in computer science ;7103..
Deep Learning -- Classification and Forecasting -- Recognition and Navigation.
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
ISBN: 9783319447810
Standard No.: 10.1007/978-3-319-44781-0doiSubjects--Topical Terms:
386157
Neural networks (Computer science)
LC Class. No.: QA76.87
Dewey Class. No.: 006.32
Artificial neural networks and machine learning - ICANN 2016[electronic resource] :25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings.Part II /
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The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.
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based on 0 review(s)
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