Computational Intelligence in Economics and Finance
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Book Overview
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.
Format:Paperback
Language:English
ISBN:3642079024
ISBN13:9783642079023
Release Date:December 2010
Publisher:Springer
Length:480 Pages
Weight:1.54 lbs.
Dimensions:1.0" x 6.1" x 9.2"
Related Subjects
Accounting Accounting & Finance Algorithms Artificial Intelligence Business Business & Investing Computers Computers & Technology Data Mining Databases Economics Education & Reference Finance Genetic Human Vision & Language Systems Information Systems Mathematical & Statistical Mathematics Neural Networks Popular Economics Science & Math Software Software EngineeringCustomer Reviews
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