Determination of biodiesel purity through feature mapping to the multi-dimensional space by the LS-SVM approach

Volume: 145, Issue: 4, Pages: 1739 - 1750
Published: Mar 13, 2021
Abstract
Purity is one of the essential properties of biodiesel. Since the purity parameter depends on different operating conditions, its direct measurement is too hard and can only be obtained for specific ranges of conditions. Therefore, this work considers the least-squares support vector machines (LS-SVMs) that transform operating conditions to a multi-dimensional space to simulate biodiesel purity in wide ranges of operating conditions. Indeed, we...
Paper Details
Title
Determination of biodiesel purity through feature mapping to the multi-dimensional space by the LS-SVM approach
Published Date
Mar 13, 2021
Volume
145
Issue
4
Pages
1739 - 1750
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.