PREDICTION OF CONCRETE MIX COMPRESSIVE STRENGTH USING STATISTICAL LEARNING MODELS

Laboratory analysis is expensive. In addition, recent developments in data mining techniques present a great opportunity for researchers to utilize available experimental data in a more productive way by building forecasting models. Today, there are several data-driven learning models that can predi...

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Bibliographic Details
Main Authors: A. A. SHAQADAN, M. AL-RAWASHDEH
Format: Article
Language:English
Published: Taylor's University 2018-07-01
Series:Journal of Engineering Science and Technology
Subjects:
RVM
Online Access:http://jestec.taylors.edu.my/Vol%2013%20issue%207%20July%202018/13_7_3.pdf