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Inhaltsangabe
For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.
Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.
Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.
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Neural Networks and Learning Machines
Third Edition
Simon Haykin
McMaster University, Canada
This third edition of a classic book presents a comprehensive treatment of neural networks and learning machines. These two pillars that are closely related. The book has been revised extensively to provide an up-to-date treatment of a subject that is continually growing in importance. Distinctive features of the book include:
• On-line learning algorithms rooted in stochastic gradient descent; small-scale and large-scale learning problems.
• Kernel methods, including support vector machines, and the representer theorem.
• Information-theoretic learning models, including copulas, independent components analysis (ICA), coherent ICA, and information bottleneck.
• Stochastic dynamic programming, including approximate and neurodynamic procedures.
• Sequential state-estimation algorithms, including Kalman and particle filters.
• Recurrent neural networks trained using sequential-state estimation algorithms.
• Insightful computer-oriented experiments.
Just as importantly, the book is written in a readable style that is Simon Haykin’s hallmark.
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NEURAL NETWORKS AND LEARNING MACHINES, 3RD EDN
Internationale AusgabeAnbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABNR-10111
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Neural Networks and Learning Machines
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Neural Networks and Learning Machines
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Neural Networks and Learning Machines
Anbieter: Attic Books (ABAC, ILAB), London, ON, Kanada
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Hardcover. Zustand: Fine. Third Edition. xxx, 906 p. 24 cm. Numerous figures. Black and red text. Hardcover. Artikel-Nr. 125547
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Neural Networks and Learning Machines
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABNR-30415
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Neural Networks and Learning Machines
Anbieter: moluna, Greven, Deutschland
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Zustand: New. For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most co. Artikel-Nr. 897409603
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Neural Networks and Learning Machines
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. PB-9780131471399
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Neural Networks and Learning Machines
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Zustand: New. pp. xxx + 906 Illus. Artikel-Nr. 8274823
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Neural Networks and Learning Machines
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Buch. Zustand: Neu. Neuware. Artikel-Nr. 9780131471399
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Neural Networks and Learning Machines: United States Edition
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Hardcover. Zustand: Brand New. 3rd edition. 842 pages. 9.21x7.09x1.50 inches. In Stock. Artikel-Nr. zk0131471392
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