Description
Book SynopsisNow, 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 any knowledge of neural nets, The Roots ofBackpropagation firmly established both its historical andcontinuing significance as it:
* Demonstrates the ongoing value and new potential ofbackpropagation
* Creates a wealth of sou
Table of ContentsTHESIS.
Beyond Regression: New Tools for Prediction and Analysis in theBehavioral Sciences.
Dynamic Feedback, Statistical Estimation, and Systems Optimization:General Techniques.
The Multivariate ARMA(1,1) Model: Its Significance andEstimation.
Simulation Studies of Techniques of Time-Series Analysis.
General Applications of These Ideas: Practical Hazards and NewPossibilities.
Nationalism and Social Communications: A Test Case for MathematicalApproaches.
APPLICATIONS AND EXTENSIONS.
Forms of Backpropagation for Sensitivity Analysis, Optimization,and Neural Networks.
Backpropagation Through Time: What It Does and How to Do It.
Neurocontrol: Where It Is Going and Why It Is Crucial.
Neural Networks and the Human Mind: New Mathematics Fits HumanisticInsight.
Index.
