Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field.
In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Edited by:
Paul P. Wang, Paul P. Wang Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Country of Publication: Germany Edition: 2004 ed. Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 28mm
Weight: 1.950kg ISBN:9783540440987 ISBN 10: 3540440984 Series:Advanced Information Processing Pages: 480 Publication Date:16 September 2003 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
Reviews for Computational Intelligence in Economics and Finance
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