Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming

标题
Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming
作者
关键词
Multi-gene genetic programming, Hybrid algorithm, Nonlinear regression, Machine learning, Stochastic optimization
出版物
COMPUTERS & CHEMICAL ENGINEERING
Volume 127, Issue -, Pages 150-157
出版商
Elsevier BV
发表日期
2019-05-09
DOI
10.1016/j.compchemeng.2019.05.013

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search