Artificial neural networks and machine learning - ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings
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Bibliographic Information
Artificial neural networks and machine learning - ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016 : proceedings
（Lecture notes in computer science, 9886-9887）
Springer, c2016
- pt. 1 : [pbk.]
- pt. 2 : [pbk.]
Available at / 1 libraries
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Doshisha University Library (Imadegawa)
pt. 1 : [pbk.]418.6||L3||9886176700886,
pt. 2 : [pbk.]418.6||L3||9887176700887 -
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Note
"LNCS sublibrary: SL1 - theoretical computer science and general issues"--T.p. verso
Includes bibliographical references and index
Description and Table of Contents
- Volume
-
pt. 1 : [pbk.] ISBN 9783319447773
Description
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.
Table of Contents
From Neurons to Networks.- Networks and Dynamics.- Higher Nervous Functions.- Neuronal Hardware.- Learning Foundations.
- Volume
-
pt. 2 : [pbk.] ISBN 9783319447803
Description
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.
Table of Contents
Deep Learning.- Classification and Forecasting.- Recognition and Navigation.
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