Advances in Neural Networks: Computational and Theoretical Issues
This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innov...
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| 主要な著者: | , , |
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| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Springer
2015
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| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58854 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| 要約: | This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. |
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