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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting Book

The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting
The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,, The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting has a rating of 3 stars
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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,, The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting
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  • The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting
  • Written by author Paul John Werbos
  • Published by Wiley, John & Sons, Incorporated, February 1994
  • Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,
  • Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,
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Book Categories

Authors

Introduction1
Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences21
1General Introduction and Summary25
2Dynamic Feedback, Statistical Estimation, and Systems Optimization: General Techniques29
3The Multivariate ARMA(1, 1) Model: Its Significance and Estimation82
4Simulation Studies of Techniques of Time-Series Analysis114
5General Applications of These Ideas: Practical Hazards and New Possibilities151
6Nationalism and Social Communications: A Test Case for Mathematical Approaches184
7Forms of Backpropagation for Sensitivity Analysis, Optimization, and Neural Networks256
8Backpropagation Through Time: What It Does and How to Do It269
9Neurocontrol: Where It Is Going and Why It Is Crucial295
10Neural Networks and the Human Mind: New Mathematics Fits Humanistic Insight305
Index317


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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,, The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting

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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,, The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting

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The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Now, for the first time, publication of the landmark work in backpropagation! Scientists, engineers, statisticians, operations researchers, and other investigators involved in neural networks have long sought direct access to Paul Werbos's groundbreaking,, The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting

The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting

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