A Field Guide to Dynamical Recurrent Networks

@book{citeulike:2790298, abstract = {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. <p> <i>A Field Guide to Dynamical Recurrent Networks </i> 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. <p> <i>A Field Guide to Dynamical Recurrent Networks</i> 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.}, author = {Kolen and Kremer}, citeulike-article-id = {2790298}, howpublished = {Hardcover}, isbn = {0780353692}, keywords = {to\_read}, month = {January}, posted-at = {2008-05-12 19:28:59}, priority = {4}, publisher = {Wiley-IEEE Press}, title = {A Field Guide to Dynamical Recurrent Networks}, url = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20\&amp;path=ASIN/0780353692}, year = {2001} }

TY - BOOK ID - citeulike:2790298 L3 - citeulike-article-id:2790298 TI - A Field Guide to Dynamical Recurrent Networks PB - Wiley-IEEE Press SN - 0780353692 N2 - 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. <p> <i>A Field Guide to Dynamical Recurrent Networks </i> 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. <p> <i>A Field Guide to Dynamical Recurrent Networks</i> 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. KW - to_read AU - Kolen AU - Kremer PY - 2001/01/01/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&amp;path=ASIN/0780353692 ER -