Peter G.Zhang – Neural Networks in Business Forecasting

PETER G.ZHANG – NEURAL NETWORKS IN BUSINESS FORECASTING

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 Author

Dr. Zhang is currently Associate Professor of Decision Sciences and Operations Management at Georgia State University, USA. 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.

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