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Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Paperback, 1st ed. 2016) Loot Price: R3,158

Discovery Miles 31 580

Repayment Terms: R296 pm x 12*

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Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks,...

Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (Paperback, 1st ed. 2016)

Alessandro E. P. Villa, Paolo Masulli, Antonio Javier Pons Rivero

Series: Lecture Notes in Computer Science, 9887

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Loot Price R3,158 Discovery Miles 31 580 | Repayment Terms: R296 pm x 12*

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 9887
Release date:	August 2016
First published:	2016
Editors:	Alessandro E. P. Villa • Paolo Masulli • Antonio Javier Pons Rivero
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Paperback
Pages:	557
Edition:	1st ed. 2016
ISBN-13:	978-3-319-44780-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	3-319-44780-7
Barcode:	9783319447803