Determination of the Fusibility of Coal Ash Based on PSO-BP Neural Network
In order to test the fusibility of coal ash automatic, proposes the technology of PSO-BPNN. Collectes the ash cone deformation tempera-ture real-time image, identifies four characteristics of ash fusion temperature automatically: deformation temperature, softening tempera-ture, hemispherical temperature and flow temperature. The test results show that the algorithm has high accuracy and simple operation.
NETL
NSTL
万方数据
维普
