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Artificial Neural Networks and Machine Learning - ICANN 2016
. Ed(S): Villa, Alessandro E. P.; Masulli, Paolo; Pons Rivero, Antonio J.
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Description for Artificial Neural Networks and Machine Learning - ICANN 2016
Paperback. Editor(s): Villa, Alessandro E. P.; Masulli, Paolo; Pons Rivero, Antonio J. Series: Lecture Notes in Computer Science. Num Pages: 586 pages, 173 black & white illustrations, biography. BIC Classification: UYQM; UYQN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 30. Weight in Grams: 890.
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.
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.
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
586
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
557
Place of Publication
Cham, Switzerland
ISBN
9783319447803
SKU
V9783319447803
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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