Processing of unperfected experimental data

被引：0
|
作者：
Shi, Z [1 ]
Ning, C [1 ]
机构：
[1] Nanjing Inst Chem Technol, Nanjing 210009, Jiangsu Prov, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
unperfected experimental data; mathematical statistics; fuzzy mathematics; neural network; mathematical model;
D O I：
10.1109/WCICA.2002.1021481
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A synthetic approach to processing the experimental data is discussed in this paper. The mathematical statistics, fuzzy mathematics and artificial neural network technique are synthesized together in order to process a kind of unperfected experimental data, and a mathematical model in the shape of fuzzy neural networks is built. This method then is used to process the experimental data obtained from a complicated chemical reaction. The actual results have proved that this approach is simple, practical and effective. The model obtained by the method mentioned above can be used in further simulation and optimization study of the reaction process.
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页码：2217 / 2221
页数：5
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