Neural Networks in Business Forecasting From Information Science Publishing

Product Description

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.
Product Details
Amazon Sales Rank: #933123 in Books
Published on: 2003-12
Number of items: 1
Binding: Paperback
350 pages
Editorial Reviews

Book Info
Text provides an overview of issues in business forecasting with neural networks, offering a range of successful applications. Discusses practical guidelines in neural network modeling for forecasting. For researchers and practitioners. Softcover, hardcover available. DLC: Business forecasting--Mathematical models.

About the Author
G. Peter Zhang is an 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.