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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universiti Putra Malaysia
2018
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/64133/ http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(1)%20Jan.%202018/23%20JST(S)-0298-2017-4thProof.pdf |
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http://irep.iium.edu.my/64133/1/64133_Consolidated%20Backpropagation%20Neural%20Network_article.pdfhttp://irep.iium.edu.my/64133/2/64133_Consolidated%20Backpropagation%20Neural%20Network_scopus.pdf
http://irep.iium.edu.my/64133/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(1)%20Jan.%202018/23%20JST(S)-0298-2017-4thProof.pdf