Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem

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Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem

Neurocomputing has been adjusted effectively in time series forecasting activities, yet the vicinity of exceptions that frequently happens in time arrangement information might contaminate the system preparing information. This is because of its capacity to naturally realise any example without earl...

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Bibliographic Details
Main Authors:	Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Ramli, Norazan Mohamed
Format:	Article
Language:	English English
Published:	Universiti Putra Malaysia 2018
Subjects:	QA297 Numerical Analysis QA76 Computer software TH1000 Systems of building construction
Online Access:	http://irep.iium.edu.my/64133/ http://irep.iium.edu.my/64133/1/64133_Consolidated%20Backpropagation%20Neural%20Network_article.pdf http://irep.iium.edu.my/64133/2/64133_Consolidated%20Backpropagation%20Neural%20Network_scopus.pdf

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