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Artificial Neural Networks in Finance and Manufacturing

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Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated problems are very complex and conventional methods often fail to produce acceptable solutions. Moreover, businesses and industries always look for superior solutions to boost profitability and productivity. In recent times, artificial neural networks have demonstrated promising results in solving many real-world problems in these domains, and these techniques are increasingly gaining business and industry acceptance among the practitioners.

Artificial Neural Networks in Finance and Manufacturing presents many state-of-the-art and diverse applications to finance and manufacturing, along with underlying neural network theories and architectures. It offers researchers and practitioners the opportunity to access exciting and cutting-edge research focusing on neural network applications, combining two aspects of economic domain in a single and consolidated volume.

About the Author

Dr. Kamruzzaman received his B.Sc and M.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering & Technology, Dhaka, Bangladesh in 1986 & 1989 respectively, and PhD in Information Systems Engineering from Muroran Institute of Technology, Japan in 1993. Currently he is a faculty member in the Faculty of Information Technology, Monash University, Australia. His research interest includes computational intelligence, computer networks and bioinformatics. He has published more than 90 refereed papers in international journals and conference proceedings. He is currently serving as a program committee member of a number of international conferences.

Dr. Begg received the B.Sc. and M.Sc. Eng degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and the Ph.D. degree in Biomedical Engineering from the University of Aberdeen, U.K. 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 areas, and has published over 100 research papers in these areas. He is a regular reviewer for several international journals, and was on the TPC for a number of major international conferences. He received several awards, including the BUET Gold medal and the Chancellor prize for academic excellence.

Dr. Sarker obtained his Ph.D. from DalTech (former TUNS), Dalhousie University, Halifax, Canada. He is currently a senior academic at the School of Information Technology and Electrical Engineering, University of New South Wales (UNSW), Canberra, Australia. Before joining UNSW, Dr Sarker worked with Monash University and Bangladesh University of Engineering and Technology. He has published 100+ refereed technical papers in the international journals, edited reference books and conference proceedings. He has written two books, edited six reference books and several proceedings, and served as guest editors and technical reviewers for a number of international journals. Dr. Sarker was a technical co-chair of IEEE-CEC2003 and served many international conferences in the capacity of chair, co-chair or PC member.

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