The Roots of Backpropagation. From Ordered Derivatives to Neural Networks and Political Forecasting.
Paul John Werbos
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Description for The Roots of Backpropagation. From Ordered Derivatives to Neural Networks and Political Forecasting.
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. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 320 pages, Ill. BIC Classification: UYA; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 181 x 24. Weight in Grams: 608.
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, practicalunderstanding of this unique mathematical approach to socialstudies and related fields. In addition, Werbos has provided threemore recent research papers, which were inspired by his originalwork, and a new guide to the field. Originally written for readerswho lacked ... Read more
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, practicalunderstanding of this unique mathematical approach to socialstudies and related fields. In addition, Werbos has provided threemore recent research papers, which were inspired by his originalwork, and a new guide to the field. Originally written for readerswho lacked ... Read more
Product Details
Format
Hardback
Publication date
1994
Publisher
John Wiley and Sons Ltd United States
Number of pages
320
Condition
New
Series
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Number of Pages
336
Place of Publication
, United States
ISBN
9780471598978
SKU
V9780471598978
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About 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 ... Read more
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