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Neural Networks in Business Forecasting

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Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks in Business Forecasting provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

About the Editor

G. Peter Zhang is currently Associate Professor of Decision Sciences and Operations Management at Georgia State University. He received his B.S. and M.S. degrees in Mathematics and Statistics, respectively, from East China Normal University, Shanghai, China, and Ph.D. degree in Operations Research/Operations Management from Kent State University, USA. His research interests include neural networks, time series forecasting, supply chain management, and statistical quality control. His work has appeared in several reputable publications. He is on the editorial review board of Production and Operations Management journal. His profile has been published in Who’s Who in the 21st Century and Who’s Who in the World.

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