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Prapemprosesan data menggunakan teknik tapisan dalam pemodelan perceptron multi aras

Din, Roshidi and Ku-Mahamud, Ku Ruhana (2001) Prapemprosesan data menggunakan teknik tapisan dalam pemodelan perceptron multi aras. Analisis, 8 (1&2). pp. 101-109. ISSN 0127-8983

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Abstract

This purpose of this research is to study the effect of filtering technique on house price modeling performance in predicting of learning capability of Multilayer Perceptron. This study also considered the comparison between neural network data testing modeling and multiple regression. Data is not only based on house price index but also includes other aspects which are related directly or indirectly to the house price index. From the finding, it is learnt that by using filtering technique, better prediction in house price modeling was obtained.

Item Type: Article
Uncontrolled Keywords: filtering technique, house price modeling performance, learning capability, Multilayer Perceptron
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited: 23 Jun 2010 16:34
Last Modified: 21 Jan 2013 00:28
URI: https://repo.uum.edu.my/id/eprint/22

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