Machine learning–based optimal design of the in-situ leaching process parameter (ISLPP) for the acid in-situ leaching of uranium

Authors:
  • BWBing Wang
    Bing Wang
  • YLYue Luo
    Yue Luo
  • JQJia-Zhong Qian
    Jia-Zhong Qian
  • JLJin-Hui Liu
    Jin-Hui Liu
  • XLXun Li
    Xun Li
  • YZYan-Hong Zhang
    Yan-Hong Zhang
  • QCQian-Qian Chen
    Qian-Qian Chen
  • DLDa-Ye Liang
    Da-Ye Liang
  • JHJian Huang
    Jian Huang

Abstract
No abstract available
Funding Information
  • Natural Science Foundation of Jiangxi Province
  • National Natural Science Foundation of China (U2267218)
  • National Natural Science Foundation of China (U1967209)
  • National Natural Science Foundation of China (42107093)
  • National Natural Science Foundation of China (42062017)
  • East China Institute of Technology (U2267218)
  • East China Institute of Technology (U1967209)

This publication has 36 references indexed in Scilit: