Hybrid training approach for artificial neural networks using genetic algorithms for rate of reaction estimation: Application to industrial methanol oxidation to formaldehyde on silver catalyst

标题
Hybrid training approach for artificial neural networks using genetic algorithms for rate of reaction estimation: Application to industrial methanol oxidation to formaldehyde on silver catalyst
作者
关键词
-
出版物
CHEMICAL ENGINEERING JOURNAL
Volume 157, Issue 2-3, Pages 501-508
出版商
Elsevier BV
发表日期
2010-01-08
DOI
10.1016/j.cej.2009.12.045

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