Neural Networks in Business Forecasting

Front Cover
G. Peter Zhang
Idea Group Inc (IGI), Jan 1, 2004 - Business & Economics - 296 pages
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

An Overview
1
Chapter II Using Artificial Neural Networks to Forecast Market Response
23
Chapter III Forecasting Stock Returns with Artificial Neural Networks
47
Chapter IV Forecasting Emerging Market Indexes with Neural Networks
80
Chapter V Predicting Wastewater BOD Levels with Neural Network Time Series Models
102
A Neural Network Approach
121
Chapter VII Using an Extended SelfOrganizing Map Network to Forecast Market Segment Membership
142
Chapter VIII Backpropagation and Kohonen SelfOrganizing Feature Map in Bankruptcy Prediction
158
A Recurrent Neural Network Approach
195
Chapter XI A Combined ARIMA and Neural Network Approach for Time Series Forecasting G Peter Zhang Georgia State University USA
213
Chapter XII Methods for MultiStep Time Series Forecasting with Neural Networks
225
Chapter XIII A Weighted Window Approach to Neural Network Time Series Forecasting
250
Chapter XIV Assessment of Evaluation Methods for Prediction and Classifications of Consumer Risk in the Credit Industry
266
About the Authors
285
Index
293
Copyright

Chapter IX Predicting Consumer Situational Choice with Neural Networks
171

Other editions - View all

Common terms and phrases

Bibliographic information