Application of artificial neural network with the back-propagation algorithm for estimating the amount of polycyclic aromatic hydrocarbons in Tehran Oil Refinery, Iran

Mohammad Reza Sabour, Morteza Besharati,Ghorban Ali Dezvareh,MohammadReza Hajbabaie,Masood Akbari

Environmental Nanotechnology, Monitoring & Management（2022）

引用 7|浏览4

暂无评分

摘要

•Oil pollution has been one of the most common environmental damages in recent decades.•Polycyclic aromatic hydrocarbons are one of the most common hazardous pollutants.•The back propagation ANN was used for movement model of PAHs in groundwater.•Oil dispersion and total suspended solids have more important in estimating of PAHs.

查看译文

关键词

Artificial neural network,Groundwater pollution,Oil pollution,Polycyclic aromatic hydrocarbons,Tehran Oil Refinery

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要