Processing of unperfected experimental data

Author

Shi, Zhang ; Ning, Cai

Author_Institution

Nanjing Univ. of Chem. Technol., China

Volume

3

fYear

2002

fDate

2002

Firstpage

2217

Abstract

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.

Keywords

engineering computing; fuzzy set theory; neural nets; statistical analysis; artificial neural network; complicated chemical reaction; fuzzy mathematics; fuzzy neural networks; mathematical statistics; optimization; unperfected experimental data processing; Artificial neural networks; Chemical analysis; Chemical processes; Data engineering; Fuzzy neural networks; Mathematical model; Mathematics; Neural networks; Shape; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021481

Filename

1021481