Processing of unperfected experimental data

Zhang Shi1, Cai Ning1
1Nanjing University of chemical Technology, Nanjing, Jiangsu, China

Tóm tắt

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.

Từ khóa

#Neural networks #Fuzzy neural networks #Statistics #Mathematics #Mathematical model #Shape #Artificial neural networks #Chemical processes #Data engineering #Chemical analysis

Tài liệu tham khảo

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