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Yi, Zhang; Tan, K.K. - Convergence Analysis of Recurrent Neural Networks - 9781402076947 - V9781402076947
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Convergence Analysis of Recurrent Neural Networks

€ 122.75
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Description for Convergence Analysis of Recurrent Neural Networks Hardback. Provides a comprehensive study of the convergence of recurrent neural networks, which is used in applications relating to associative memory, image processing and pattern recognition. This book is suitable for professionals and researchers, as well as advanced graduate level students in neural computations, and neural networks. Series: Network Theory and Applications. Num Pages: 233 pages, biography. BIC Classification: PB; PDX; UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 537.
Since the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong interests in scientists and researchers. Recent years have recorded a remarkable advance in research and development work on RNNs, both in theoretical research as weIl as actual applications. The field of RNNs is now transforming into a complete and independent subject. From theory to application, from software to hardware, new and exciting results are emerging day after day, reflecting the keen interest RNNs have instilled in everyone, from researchers to practitioners. RNNs contain ... Read more

Product Details

Format
Hardback
Publication date
2003
Publisher
Kluwer Academic Publishers United States
Number of pages
233
Condition
New
Series
Network Theory and Applications
Number of Pages
233
Place of Publication
New York, NY, United States
ISBN
9781402076947
SKU
V9781402076947
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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