A Field Guide to Dynamical Recurrent Networks, 9780780353695
Hardcover
Unlock AI’s future: Master dynamic networks for time-series and more.

A Field Guide to Dynamical Recurrent Networks

$567.48

  • Hardcover

    464 pages

  • Release Date

    15 January 2001

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Summary

Unveiling the Dynamics: A Field Guide to Recurrent Networks

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 re…

Book Details

ISBN-13:9780780353695
ISBN-10:0780353692
Author:John F. Kolen, Stefan C. Kremer
Publisher:John Wiley & Sons Inc
Imprint:Wiley-IEEE Press
Format:Hardcover
Number of Pages:464
Edition:1st
Release Date:15 January 2001
Weight:957g
Dimensions:259mm x 184mm x 29mm
About The Author

John F. Kolen

About the Editors

John F. Kolen has explored the computational capabilities of dynamical recurrent networks on a wide range of projects: computer tomography of ballistic tests, autonomous science on extraterrestrial sensor platforms, and laser marksmanship modeling. His research interests include neural networks, distributed processing, philosophy of computation, and computer gaming. Dr. Kolen is a member of the Institute for Human and Machine Cognition at the University of West Florida.

Stefan C. Kremer’s research interests include connectionist networks (the subject of his 1996 thesis “A Theory of Grammatical Induction in the Connectionist Paradigm”), genetic algorithms, signal processing, grammar induction, and image processing. He is an assistant professor of computing and information science at the University of Guelph, Ontario, Canada, and is a founding member of the Guelph Natural Computation Research Group.

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