About the Authors

Begg received a BSc and MSc in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and a PhD in biomedical engineering from the University of Aberdeen, UK. Currently, he is a faculty member at Victoria University, Melbourne, Australia. Previously, he worked with Deakin University and BUET. He researches in biomedical engineering, biomechanics, and machine learning and has published over 100 research papers in these...

Experiment Setup and Results

We considered 7-year stock data for the Nasdaq-100 Index and 4-year for the NIFTY index. Our target was to develop efficient forecast models that could predict the index value of the following trading day based on the opening, closing, and maximum values on any given day. The training and test patterns for both indices (scaled values) are illustrated in Figure 1. We used the same training- and test-data sets to evaluate the different connectionist models. More details are reported in the...

Case Study Australian Forex Market

In the following, we present a case study to forecast six different currency rates, namely, the U.S. dollar USD , Great British pound GBP , Japanese yen JPY , Singapore dollar SGD , New Zealand dollar NZD and Swiss franc CHF against the Australian dollar using their historical exchange rate data. The case study is based on our previous study Kamruzzaman amp Sarker, 2004 . In most of the previous studies related to forex forecasting, the neural network algorithms used were Standard Backpropation...

Artificial Neural Networks

Brophy Smoothing Algorithm

ANNs offer a computational approach that is quite different from conventional digital computation. Digital computers operate sequentially and can do arithmetic computation extremely fast. Biological neurons in the human brain are extremely slow devices and are capable of performing a tremendous amount of computation tasks necessary to do everyday complex tasks, commonsense reasoning, and dealing with fuzzy situations. The underlining reason is that, unlike a conventional computer, the brain...

References

Financial model calibration using consistency hints. IEEE Transaction on Neural Networks, 12 4 , 791-808. Akyol, D. E. 2004 . Applications of neural networks to heuristic scheduling algorithms. Computers and Industrial Engineering, 46, 679-696. Arai, M. 1989 . Mapping abilities of three layer neural networks. In Proceedings ofthe IEEE INNS International Joint Conference on Neural Networks, Vol. 1 pp. 419423 . Atiya, A. F. 2001 . Bankruptcy prediction for credit risk...

Table of Contents

Artificial Neural Networks Applications in Finance and Manufacturing 1 Joarder Kamruzzaman, Monash University, Australia Ruhul A. Sarker, University of New South Wales, Australia Rezaul K. Begg, Victoria University, Australia Simultaneous Evolution of Network Architectures and Connection Weights in Artificial Neural Ruhul A. Sarker, University of New South Wales, Australia Hussein A. Abbass, University of New South Wales, Australia Neural Network-Based Stock Market Return Forecasting Using Data...