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Friday, January 28, 2011
Neural Networks in Business Forecasting
Table of Contents
Preface .................................................................................................. vi
G. Peter Zhang, Georgia State University, USA
Chapter I.
Business Forecasting with Artificial Neural Networks:
An Overview .......................................................................................... 1
G. Peter Zhang, Georgia State University, USA
Chapter II.
Using Artificial Neural Networks to Forecast Market Response .... 23
Leonard J. Parsons, Georgia Institute of Technology, USA
Ashutosh Dixit, University of Georgia, USA
Chapter III.
Forecasting Stock Returns with Artificial Neural Networks ............. 47
Suraphan Thawornwong, Thailand Securities Depository, Thailand
David Enke, University of Missouri - Rolla, USA
Chapter IV.
Forecasting Emerging Market Indexes with Neural Networks ........ 80
Steven Walczak, University of Colorado at Denver, USA
Chapter V.
Predicting Wastewater BOD Levels with Neural Network Time Series
Models ............................................................................................... 102
David West, East Carolina University, USA
Scott Dellana, East Carolina University, USA
Chapter VI.
Tourism Demand Forecasting for the Tourism Industry: A Neural
Network Approach ............................................................................. 121
Rob Law, The Hong Kong Polytechnic University, Hong Kong
Ray Pine, The Hong Kong Polytechnic University, Hong Kong
Chapter VII.
Using an Extended Self-Organizing Map Network to Forecast Market
Segment Membership ....................................................................... 142
Melody Y. Kiang, California State University, Long Beach, USA
Dorothy M. Fisher, California State University, Dominguez Hills,
USA
Michael Y. Hu, Kent State University, USA
Robert T. Chi, California State University, Long Beach, USA
Chapter VIII.
Backpropagation and Kohonen Self-Organizing Feature Map in
Bankruptcy Prediction ....................................................................... 158
Kidong Lee, University of Incheon, South Korea
David Booth, Kent State University, USA
Pervaiz Alam, Kent State University, USA
Chapter IX.
Predicting Consumer Situational Choice with Neural Networks ..... 172
Michael Y. Hu, Kent State University, USA
Murali Shanker, Kent State University, USA
Ming S. Hung, Optimal Solutions Technologies, Inc., USA
Chapter X.
Forecasting Short-Term Exchange Rates: A Recurrent Neural
Network Approach ............................................................................. 195
Leong-Kwan Li, The Hong Kong Polytechnic University, Hong Kong
Wan-Kai Pang, The Hong Kong Polytechnic University, Hong Kong
Wing-Tong Yu, The Hong Kong Polytechnic University, Hong Kong
Marvin D. Troutt, Kent State University, USA
Chapter XI.
A Combined ARIMA and Neural Network Approach for Time Series
Forecasting ......................................................................................... 213
G. Peter Zhang, Georgia State University, USA
Chapter XII.
Methods for Multi-Step Time Series Forecasting with Neural
Networks ............................................................................................ 226
Douglas M. Kline, University of North Carolina at Wilmington, USA
Chapter XIII.
A Weighted Window Approach to Neural Network Time Series
Forecasting ......................................................................................... 251
Bradley H. Morantz, Georgia State University, USA
Thomas Whalen, Georgia State University, USA
G. Peter Zhang, Georgia State University, USA
Chapter XIV.
Assessment of Evaluation Methods for Prediction and Classifications
of Consumer Risk in the Credit Industry ......................................... 266
Satish Nargundkar, Georgia State University, USA
Jennifer Lewis Priestley, Georgia State University, USA
About the Authors .............................................................................. 285
Index ................................................................................................... 293
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