Pattern recognition of properties of alumina－ magnesia castable and optimization of its technological parameters

Five factors that influence the properties of castable have been processed with software of principal component analysis (PCA) and pattern recognition＆ artificial neural networks (PRANN). These influencing factors were comprehensively analyzed, and technological parameters of casting were optimized.