Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information Processing (AIP)
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About this book
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.
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Keywords
Table of contents (23 chapters)
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Introduction
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Fuzzy Logic and Rough Sets
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Artificial Neural Networks and Support Vector Machines
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Self-organizing Maps and Wavelets
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Sequence Matching and Feature-Based Time Series Models
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Economics and Finance
Editors: Shu-Heng Chen, Paul P. Wang
Series Title: Advanced Information Processing
DOI: https://doi.org/10.1007/978-3-662-06373-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-44098-7Published: 16 September 2003
Softcover ISBN: 978-3-642-07902-3Published: 06 December 2010
eBook ISBN: 978-3-662-06373-6Published: 09 March 2013
Edition Number: 1
Number of Pages: XXII, 480
Topics: Econometrics, Artificial Intelligence, Finance, general, Probability and Statistics in Computer Science, Computer Appl. in Administrative Data Processing, Game Theory, Economics, Social and Behav. Sciences