Article ID Journal Published Year Pages File Type
5004901 ISA Transactions 2013 11 Pages PDF
Abstract
► Soft sensing of clinker quality will reduce low quality clinker production. ► Few works reported on ANN application for online clinker quality estimation. ► Development of BPNN, RBFN and GRNN models based on actual plant data. ► Performance comparison of the three models with untrained data.
Keywords
Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
Preview
Development and comparison of neural network based soft sensors for online estimation of cement clinker quality
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