Wang Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance

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Beschreibung

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.


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.


Includes supplementary material: sn.pub/extras

Autor*in

Paul P. Wang

Themen in »Computational Intelligence in Economics and Finance«

Business Forecasting Financial Data Mining Financial Engineering Pattern Matching Prediction Rough Sets Theory Self-Organizing Maps Simulation Wavelets classification databases knowledge management modeling

Stimmen zu »Computational Intelligence in Economics and Finance«

Details

ISBN: 9783662063736
Verlag: Springer Berlin
Erscheinung: 09.03.2013

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