Self-Organizing Methods in Modeling: GMDH Type Algorithms

by S. J. Farlow

Overview

This book introduces English-speaking people the basic group method of data handling algorithm. It could be used as a reference source for researchers or as a textbook for specialized courses and seminars in modeling, applied mathematics, and applied statistics.

Product Details

ISBN-13:	9781000146479
Publisher:	CRC Press
Publication date:	11/25/2020
Series:	Statistics: A Series of Textbooks and Monographs
Sold by:	Barnes & Noble
Format:	eBook
Pages:	368
File size:	153 MB
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About the Author

Stanley J. Farlow

Table of Contents

1. The GMDH Algorithm 2. Adaptive Learning Networks: Development and Application in the United States of Algorithms Related to GMDH 3. Regression Without Models: Directions in the Search for Structure 4. Predicted Squared Error: A Criterion for Automatic Model Selection 5. Past, Present, and Future of GMDH 6. Forecasting Applications of GMDH in Agricultural and Meteorological Time Series 7. Nonlinear Prediction Models for River Flows and Typhoon Precipitation by Self-Organizing Methods 8. Let's ask GMDH What Effect the Environment Has on Fisheries 9. Predictive GMDH Models of Shrimp Catches: Some Practical Considerations 10. GMDH forecasting of U.S. interest Rates 11. A Method for Predicting Sales Amount by the Use of Iwsm and GMDH 12. On Revised Algorithms of GMDH With Applications 13. An Application of the GMDH Algorithm to Economic Modeling 14. Application of GMDH to Environmental System Modeling and Management 15. A fortran Program for the GMDH Algorithm 16. An Sas Program for Simplified GMDH Models