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- W2385057958 abstract "It is difficult to measure the grinding particle size(GPS)online directly,while the offline analysis with samples in lab will cause long time delay.The soft-sensor technique is therefore required to achieve the online estimation and closed-loop control of the GPS.Taking a practical two-stage grinding circuit as the objective to investigate,three GPS soft-sensor models were developed based on multiple regression,cased-based reason(CBR),and neural network(NN),respectively.These soft-sensor models were discussed comparatively via industrial tests.The results showed that the CBR soft-sensor model is superior to both the BP-NN soft-sensor model and the multiple regression soft-sensor model." @default.
- W2385057958 created "2016-06-24" @default.
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- W2385057958 date "2010-01-01" @default.
- W2385057958 modified "2023-09-27" @default.
- W2385057958 title "Comparative Study on Soft-Sensor of Grinding Particle Size" @default.
- W2385057958 hasPublicationYear "2010" @default.
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