STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue Open Access

Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning

  1. Pravesh Kumar Tiwari Department of Civil Engineering, GLA University Mathura
  2. Manvendra Verma Department of Civil Engineering, GLA University Mathura

Abstract

Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep learning and random forest algorithm and comparing their error and coefficient of correlation. Finding the results and value of properties of concrete conventional method is so time taking and laborious. The goal of this study is to fortune telling of the strength of sustainable concrete by machine learning tool.

Keywords

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