Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun、Lv Runhua、Wang Runtian

Strategic Study of CAE ›› 2007, Vol. 9 ›› Issue (5) : 81-84.

PDF(416 KB)
PDF(416 KB)
Strategic Study of CAE ›› 2007, Vol. 9 ›› Issue (5) : 81-84.

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

  • Li Dejun、Lv Runhua、Wang Runtian

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Abstract

  Slurry is widely used in construction projects, and it is important to control the slurry's physical characteristic properly. The acoustic method is used,  which can effectively monitor the physical parameters of slurry,  such as concentration. Data processing affects directly the precision in the measurement of slurry concentration by the sound attenuation and velocity. Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering algorithm.

Keywords

fuzzy pattern recognition / nearest neighbor(NN) / cooperative clustering algorithm(CCA) / slurry concentration

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Li Dejun,Lv Runhua,Wang Runtian. Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration. Strategic Study of CAE, 2007, 9(5): 81‒84
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