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Book synopsis

This volume provides a comprehensive study of the convergence of recurrent neural networks, which has been increasingly used in applications relating to associative memory, image processing and pattern recognition. Throughout the book, the authors present their original research results of recent years. While the main objective is to disseminate these results in a unified and comprehensive manner, the book is also written to be helpful to readers requiring basic information, such as methods and tools commonly used in the analysis and design of recurrent neural networks. §Audience: This volume is suitable for professionals and researchers, as well as advanced graduate level students in neural computations, and neural networks.

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Information theory

• Full title: Convergence Analysis of Recurrent Neural Networks
• Author: hang Yi
• Language: English
• Binding: Paperback
• Number of pages: 233
• EAN: 9781475738216
• ISBN: 1475738218
• ID: 02643847
• Publisher: Springer-Verlag New York Inc.
• Weight: 397 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 14. September 2013

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