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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| Главные авторы: | , , |
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| Формат: | |
| Язык: | English |
| Опубликовано: |
Springer
2015
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| Предметы: | |
| Online-ссылка: | 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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| Итог: | 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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