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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Produktdetaljer
ISBN
9783662063736
Publisert
2020
Utgave
1. utgave
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter