The enhanced BPNN-NAR and BPNN-NARMA models for Malaysian aggregate cost indices with outlying data
Neurocomputing have been adapted in time series forecasting arena, but the presence of outliers that usually occur in data time series may be harmful to the data network training. This is because the ability to automatically find out any patterns without prior assumptions and loss of generality....
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/50812/1/50812.pdf http://irep.iium.edu.my/50812/2/50812-The%20enhanced%20BPNN-NAR%20and%20BPNN-NARMA%20models%20for%20Malaysian%20aggregate%20cost%20indices%20with%20outlying%20data_SCOPUS.pdf http://irep.iium.edu.my/50812/ http://ieeexplore.ieee.org/document/7403484/?section=abstract |
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Internet
http://irep.iium.edu.my/50812/1/50812.pdfhttp://irep.iium.edu.my/50812/2/50812-The%20enhanced%20BPNN-NAR%20and%20BPNN-NARMA%20models%20for%20Malaysian%20aggregate%20cost%20indices%20with%20outlying%20data_SCOPUS.pdf
http://irep.iium.edu.my/50812/
http://ieeexplore.ieee.org/document/7403484/?section=abstract