Neural Networks Computational Models and Applications
Huajin Tang, Kay Chen Tan, Zhang Yi
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.
Категорії:
Рік:
2007
Видавництво:
Springer
Мова:
english
Сторінки:
310
Файл:
PDF, 4.68 MB
IPFS:
,
english, 2007
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