A comparative assessment of predicting CH 4 adsorption on different activated carbons using generalized regression neural network (GRNN), and adaptive network-based fuzzy inference system (ANFIS)

Clicks: 351
ID: 2811
2019
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
Abstract is not available for this article.
Login to Search Abstract
Reference Key
yan2019aenergy Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yan H.
Journal energy sources, part a: recovery, utilization and environmental effects
Year 2019
DOI
10.1080/15567036.2018.1548527
URL
Keywords Keywords not found

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.