运用改进的BP算法，建立了水泥强度预测模型。
Based on optimized BP algorithms, some prediction models are developed for cement strength.
应用知识库模型可以根据尾砂的级配特性，预测不同水泥含量、不同浓度下的尾砂胶结充填体强度，指导矿山充填设计。
According to gradation of tailings, the knowledge bank model can predict the strengths of cemented tailings in different contents of cement or consistence, and guide filling design in mine.
本文提出了按粉煤灰理化参数及水泥成分预测抗压强度比的方程。
A regressive equation is then given to predict pozzolanic activity index in accordance with ash parameters and cement composition.
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