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The evaluation of consumer loans using support vector machines
Expert Systems with Applications: An International Journal
Feature selection techniques, company wealth assessment and intra-sectoral firm behaviours
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Forecasting stock market based on price trend and variation pattern
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
A D-GMDH model for time series forecasting
Expert Systems with Applications: An International Journal
Clustering genome data based on approximate matching
International Journal of Data Analysis Techniques and Strategies
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From the Publisher:When applied to the world of finance, neural networks are automated trading systems, based on mapping inputs and outputs for forecasting probable future values. In Neural Networks for Financial Forecasting - the first book to focus on the role of neural networks specifically in price forecasting - traders are provided with a solid foundation that explains how neural nets work, what they can accomplish, and how to construct, use, and apply them for maximum profit. It is written by an acknowledged authority who is, himself, the developer of several successful networks. Neural Networks for Financial Forecasting enables you to develop a usable, state-of-the-art network from scratch all the way through completion of training. There are spreadsheets and graphs throughout to illustrate key points, and an appendix of valuable information, including neural network software suppliers and related publications.