| 基于决策树的神经网络预测水泥熟料强度 |
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| 引用本文： | 潘宝娟.基于决策树的神经网络预测水泥熟料强度[J].计算机应用与软件,2009,26(8):225-227,267. |
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| 作者姓名： | 潘宝娟 |
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| 作者单位： | 江苏海事职业技术学院,江苏,南京,211170 |
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| 摘 要： | 测定水泥熟料强度的传统方法是实测水泥预制品在第3天与第28天的强度.为了简化并加快熟料强度的预测,设计了基于决策树的神经网络系统.该系统由两部分组成,先利用决策树确定水泥品种,再利用该种水泥样品的数据对神经网络进行训练.实验证明,经过训练的神经网络可以快速、准确地预测熟料的抗压、抗折强度.
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| 关 键 词： | 抗压强度/抗折强度 决策树 人工神经网络 网络训练 |
USING DECISION TREE BASED ANN TO FORECAST THE STRENGTH OF CEMENT CLINKER |
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| Pan Baojuan.USING DECISION TREE BASED ANN TO FORECAST THE STRENGTH OF CEMENT CLINKER[J].Computer Applications and Software,2009,26(8):225-227,267. |
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| Authors: | Pan Baojuan |
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| Affiliation: | Jiangsu Maritime Technology College;Nanjing 211170;Jiangsu;China |
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| Abstract: | Traditional method of determining the strength of cement clinker is to test cement prefabrication strength on the 3rd day and the 28th day respectively.In order to simplify and speed up the prediction of clinker's strength,in this paper it designed the ANN system-artificial neural network based on decision tree.The system consists of two parts.First,it uses the decision tree to decide the type of cement.Secondly,it uses cement sample's data to train ANN.It has been proved by the experiment that the trained ... |
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