摘要
首先简要阐述蒸养粉煤灰砖的生产流程,然后通过建立BP神经网络模型来预测粉煤灰砖的抗压强度值,仿真结果表明此模型用于强度预测是可行的。
The product process of the steam-curing fly ash brick is briefly described in this paper firstly,then a method by using BP neural network to forecast the compressive strength of steam-curing fly ash brick is given. Computer simulation is accomplished, and the result proves that it is feasible to forecast the strength by using this model.
出处
《微计算机信息》
北大核心
2006年第04Z期248-250,共3页
Control & Automation
基金
受国家自然科学基金(60403012)资助
关键词
神经网络
蒸养粉煤灰砖
数据预处理
neural network
steam-curing fly ash brick
data preprocessing
