Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network

Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network

69 p.

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Bibliographic Details
Main Author: Ng, Wee Ding.
Other Authors: Quah Tong Seng
Format: Theses and Dissertations
Published: 2010
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Online Access:http://hdl.handle.net/10356/39111
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-39111
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spelling sg-ntu-dr.10356-391112023-07-04T15:25:27Z Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network Ng, Wee Ding. Quah Tong Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics 69 p. Stock Selection using GGAP-RBF (General Growing and Pruning Radial Basis Function) Neural Network In the stock picking or selection problem, the motivation is to design system such that it is able to systematically select stocks or equities that are empirically predicted to perform well in the future. Thus, it should achieve four objectives: 1) to achieve monetary returns in the future; 2) to beat the average market performance; 3) to avoid the bias in human-based stock selection due to psychological reasons; 4) automatically crunching the data to extract useful information based on past information, which can be hardly done manually. Hence, this dissertation presents methodologies to select equities based on soft-computing models and the information gathered from fundamental analysis of stock performance. Master of Science (Communication Software and Networks) 2010-05-21T04:44:01Z 2010-05-21T04:44:01Z 2006 2006 Thesis http://hdl.handle.net/10356/39111 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::Applications of electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Ng, Wee Ding.
Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
description 69 p.
author2 Quah Tong Seng
author_facet Quah Tong Seng
Ng, Wee Ding.
format Theses and Dissertations
author Ng, Wee Ding.
author_sort Ng, Wee Ding.
title Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
title_short Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
title_full Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
title_fullStr Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
title_full_unstemmed Stock selection using General Growing and Pruning Radial Basis Function (GGAP-RBF) neural network
title_sort stock selection using general growing and pruning radial basis function (ggap-rbf) neural network
publishDate 2010
url http://hdl.handle.net/10356/39111
_version_ 1772827540061159424

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