Neural Networks in Business Forecasting

Neural Networks in Business Forecasting

G. Peter Zhang (Georgia State University, USA)
Release Date: July, 2003|Copyright: © 2004 |Pages: 350
ISBN13: 9781591401766|ISBN10: 1591401763|EISBN13: 9781591401773|DOI: 10.4018/978-1-59140-176-6


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.

Reviews and Testimonials

This volume brings together many recent theoretical and practical advances in business forecasting using neural networks. Readers will find illuminating articles which address issues specific to neural network forecasting such as: data preparation, network training, model building, selection and evaluations, as well as applications in many areas of business.

– Eddy Patuwo, Kent State University

This book is a must have for forecasting, neural networks, and management science professionals and students alike. It is an excellent collection of state-of-the-art and updated articles on the application of neural networks in business decision-making environments.

– Shad Dowlatshahi, University of Missouri

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.