Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine

Volume: 41, Issue: 9, Pages: 12164 - 12177
Published: Nov 1, 2015
Abstract
To date, many artificial intelligence-based techniques have been conducted to predict compressive strength of concrete specimens. However, modified models by metaheuristic optimization algorithms to present approaches with higher performance may be of special interest. In this work, support vector machine (SVM) is utilized to predict compressive strength of geopolymers, cement-free eco-friendly construction materials. Parameters of SVM are...
Paper Details
Title
Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine
Published Date
Nov 1, 2015
Volume
41
Issue
9
Pages
12164 - 12177
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.