Advances in Neural Networks – ISNN 2016 [electronic resource] 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / edited by Long Cheng, Qingshan Liu, Andrey Ronzhin.
This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics o...
| Uniform Title: | Theoretical Computer Science and General Issues,
2512-2029 ; 9719 |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edition: | 1st ed. 2016. |
| Series: | Theoretical Computer Science and General Issues,
9719 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Advances in Neural Networks - ISNN 2016 |
| Format: | Electronic eBook |
MARC
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| 245 | 1 | 0 | |a Advances in Neural Networks – ISNN 2016 |h [electronic resource] |b 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / |c edited by Long Cheng, Qingshan Liu, Andrey Ronzhin. |
| 246 | 2 | |a Advances in Neural Networks - ISNN 2016 | |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 490 | 1 | |a Theoretical Computer Science and General Issues, |x 2512-2029 ; |v 9719 | |
| 505 | 0 | |a Signal and image processing -- Dynamical behaviors of recurrent neural networks -- Intelligent control.-Clustering, classification, modeling, and forecasting -- Evolutionary computation -- Cognition computation and spiking neural networks. | |
| 520 | |a This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer science—Mathematics. | |
| 650 | 0 | |a Neural networks (Computer science) . | |
| 650 | 0 | |a Data protection. | |
| 700 | 1 | |a Cheng, Long. |e editor. |0 (orcid)0000-0001-7565-8788 |1 https://orcid.org/0000-0001-7565-8788 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Liu, Qingshan. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Ronzhin, Andrey. |e editor. |0 (orcid)0000-0002-8903-3508 |1 https://orcid.org/0000-0002-8903-3508 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 1 | |t Advances in Neural Networks – ISNN 2016 | |
| 830 | 0 | |a Theoretical Computer Science and General Issues, |x 2512-2029 ; |v 9719 | |
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