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  • 标题:Prediction of strength and durability properties of HPC composites using Adaptive Neuro-fuzzy Inference System
  • 本地全文:下载
  • 作者:P Magudeaswaran. ; C. Vivek Kumar ; Rathod Ravinder
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:184
  • 页码:1-4
  • DOI:10.1051/e3sconf/202018401102
  • 出版社:EDP Sciences
  • 摘要:High-Performance Concrete (HPC) is a high-quality concrete that requires special conformity and performance requirements. The objective of this study was to investigate the possibilities of adapting neural expert systems like Adaptive Neuro-Fuzzy Inference System (ANFIS) in the development of a simulator and intelligent system and to predict durability and strength of HPC composites. These soft computing methods emulate the decision-making ability of human expert benefits both the construction industry and the research community. These new methods, if properly utilized, have the potential to increase speed, service life, efficiency, consistency, minimizes errors, saves time and cost which would otherwise be squandered using the conventional approaches.
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