Parameterizations of data-driven nonlinear dynamic process models for fast scheduling calculations

Clicks: 216
ID: 24157
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
simkoff2019parameterizationscomputers Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Simkoff, J.
Journal computers and chemical engineering
Year 2019
DOI
10.1016/j.compchemeng.2019.06.023
URL
Keywords Keywords not found

Citations

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

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