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Сетевые технологииNeural Networks: Computational Models and Applications

Neural Networks: Computational Models and Applications

Название: Neural Networks: Computational Models and Applications
Издательство: Springer
Автор: Huajin Tang, Kay Chen Tan, Zhang Yi
Год: 2007
Количество страниц: 322
Формат: PDF
Размер: 5 mb
Язык: English

Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.



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