A field guide to dynamical recurrent networks
by Kolen, John F. Kremer, Stefan C
Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Netw…
Read More ↓Title Statements
- Full title :A field guide to dynamical recurrent networks / edited by John F. Kolen, Stefan C. Kremer.
Summary
Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class of network structures. It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. Theoretical presentations are supplemented with applications ranging from cognitive modeling to financial forecasting. A Field Guide to Dynamical Recurrent Networks will enable engineers, research scientists, academics, and graduate students to apply DRNs to various real-world problems and learn about different areas of active research. It provides both state-of-the-art information and a road map to the future of cutting-edge dynamical recurrent networks.
Read More ↓Edition Statements
- Publication Date:©2001.
Publication Statements
- Publisher(s):IEEE Press
- Place of Publication:New York
- Language:eng
- Publication Date:©2001.
The Physical Object
- Description:1 online resource (xxx, 421 pages) : : illustrations
Edition Identifiers
- ISBN:9780470544037, 0470544031, 9780790853697, 0790853698
- oclc:ocn557451231
- LC Classification:QA76.87
- Dewey Decimal:006.3/2
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