Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques

Clicks: 123
ID: 267249
2019
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis functions neural networks (RBNN), general regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS). A hybrid learning …
Reference Key
d2019sensorsprediction Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tien Bui D;Moayedi H;Abdullahi MM;Safuan A Rashid A;Nguyen H;;
Journal sensors
Year 2019
DOI
DOI not found
URL
https://www.pubmed.gov/31450585/
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine dieu tien bui pmid:31450585 pmc6749431 doi:10.3390/s19173678 hossein moayedi hoang nguyen

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.