Ga-fuzzy system for financial forecasting

This project describes the development of a genetic-fuzzy system for characterizing the price fluctuations of equities in the stock market.

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Bibliographic Details
Main Author: Lim, Peng Tatt.
Other Authors: Lim, Meng Hiot
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4683
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-46832023-07-04T15:59:34Z Ga-fuzzy system for financial forecasting Lim, Peng Tatt. Lim, Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This project describes the development of a genetic-fuzzy system for characterizing the price fluctuations of equities in the stock market. Master of Science (Consumer Electronics) 2008-09-17T09:56:32Z 2008-09-17T09:56:32Z 2001 2001 Thesis http://hdl.handle.net/10356/4683 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Lim, Peng Tatt.
Ga-fuzzy system for financial forecasting
description This project describes the development of a genetic-fuzzy system for characterizing the price fluctuations of equities in the stock market.
author2 Lim, Meng Hiot
author_facet Lim, Meng Hiot
Lim, Peng Tatt.
format Theses and Dissertations
author Lim, Peng Tatt.
author_sort Lim, Peng Tatt.
title Ga-fuzzy system for financial forecasting
title_short Ga-fuzzy system for financial forecasting
title_full Ga-fuzzy system for financial forecasting
title_fullStr Ga-fuzzy system for financial forecasting
title_full_unstemmed Ga-fuzzy system for financial forecasting
title_sort ga-fuzzy system for financial forecasting
publishDate 2008
url http://hdl.handle.net/10356/4683
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