The Roots of Backpropagation, 1st Edition, 9780471598978
Hardcover
An introduction to the concept of backpropagation, or “dynamic feedback”, an algorithm developed by the author to be used in neural networking. The text initiates a body of background tools capable of generating applications across a range of fields, from engineering to political forecasting.

The Roots of Backpropagation, 1st Edition

from ordered derivatives to neural networks and political forecasting

$521.26

  • Hardcover

    336 pages

  • Release Date

    27 January 1994

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Summary

Now, for the first time, publication of the landmark work inbackpropagation! Scientists, engineers, statisticians, operationsresearchers, and other investigators involved in neural networkshave long sought direct access to Paul Werbos’s groundbreaking,much-cited 1974 Harvard doctoral thesis, The Roots ofBackpropagation, which laid the foundation of backpropagation. Now,with the publication of its full text, these practitioners can gostraight to the original material and gain a deeper, practic…

Book Details

ISBN-13:9780471598978
ISBN-10:0471598976
Author:Paul John Werbos
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Interscience
Format:Hardcover
Number of Pages:336
Edition:1st
Release Date:27 January 1994
Weight:680g
Dimensions:240mm x 165mm x 25mm
Series:Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
About The Author

Paul John Werbos

PAUL JOHN WERBOS is a Program Director in the Engineering Directorate of the National Science Foundation as well as Past President of the International Neural Network Society. Previously, he developed and evaluated large-scale forecasting models at the Energy Information Administration of the Department of Energy, using backpropagation and other techniques discussed in this book. He has contributed, as a writer or editor, to several books on neural networks and has published more than forty journal articles and conference papers on a wide range of subjects.

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