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Adaptive higher order neural network models and their applications in business
Business is a diversified field with general areas of specialisation such as accounting, taxation, stock market, and other financial analysis. Artificial Neural Networks (ANNs) have been widely used in applications such as bankruptcy prediction, predicting costs, forecasting revenue, forecasting share prices and exchange rates, processing documents and many more. This chapter introduces an Adaptive Higher Order Neural Network (HONN) model and applies the adaptive model in business applications such as simulating and forecasting share prices. This adaptive HONN model offers significant advantages over traditional Standard ANN models such as much reduced network size, faster training, as well as much improved simulation and forecasting errors, due to their ability to better approximate complex, non-smooth, often discontinuous training data sets. The generalisation ability of this HONN model is explored and discussed.
History
Publication title
Artificial Higher Order Neural Networks for Economics and BusinessEdition
1stEditors
Ming ZhangPagination
314-329ISBN
978-1-59904-897-0Department/School
School of Information and Communication TechnologyPublisher
Information Science ReferencePlace of publication
Hershey, PAExtent
22Rights statement
Copyright 2009 IGI GlobalRepository Status
- Restricted