Artificial neural networks and genetic algorithm used to optimize process parameters of hydrotalcite

被引：0

作者：

Ren, QL ^{[1
]}

Luo, Q ^{[1
]}

He, B ^{[1
]}

Luo, L ^{[1
]}

Jiting, L ^{[1
]}

机构：

[1] Xian Jiaotong Univ, Xian 710049, Peoples R China

来源：

8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING | 2001年

关键词：

artificial neural networks; genetic algorithm; process parameters optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The effect of reaction time, the mole rate of Mg-2 to Al3+, sodium carbonate adding amount on the output of hydrotalcite were studied by using artificial neural networks. The optimum process parameters were optimized with genetic algorithm,

引用

页码：127 / 130

页数：4

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