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e-journal

Performance of Variable Selection Method for the Damage Level Prediction of Reshaped Berm Breakwater

Prashanth Janardhan [et al.] - Nama Orang;

selection methods available. The purpose of this paper is to explore the application of Principal Component Regression (PCR)analysis for the selection of variables. Data to perform the analysis was obtained from the experimental studies conducted to measure the damage level of the reshaped berm breakwater. For the analysis, damage level was considered as the output variable and the other influencing variables as input variables. From the study it can be concluded that PCR analysis is an effective tool in reducing the number of input variables without affecting the output. It can be used as a preliminary tool in determining the influencing input variables on the output which is damage level in the present case.

Keywords: Berm Breakwater; PCR; Eigen value.


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Informasi Detail
Judul Seri
Aquatic Procedia
No. Panggil
-
Penerbit
: Elsevier., 2015
Deskripsi Fisik
Aquatic Procedia 4 ( 2015 ) 302 – 307
Bahasa
English
ISBN/ISSN
doi: 10.1016/j.aqpro
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
4 ( 2015 )
Subjek
KIMIA
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Wati/Agus
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  • FULL TEXT:Performance of Variable Selection Method for the Damage Level Prediction of Reshaped Berm Breakwater
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