coal ash fusion

 
  • 煤灰熔融性

coal ash fusion的用法和样例:

例句

  1. The chemical compositions of the coal ash were employed as inputs and the ash fusion temperature as output. The results show that the maximum and average relative predicting error are 7.4% and 0.678%,respectively.
    将灰成分作为输入量;煤灰软化温度作为输出量;用试验数据对模型进行了校验;结果表明;支持向量机模型预测的最大相对误差和平均相对误差分别为7.;4%25和0
  2. Study Of Increasing Coal Ash Fusion Temperature and Its Mechanism
    提高煤灰熔融温度及其机理的研究
  3. Analysis of Coal Ash Fusion Temperature Using Polynomial Partial Regression Functions
    煤灰熔融温度多项式模型的偏回归函数分析
  4. Application of general regression neural network in prediction of coal ash fusion temperature
    广义回归神经网络在煤灰熔点预测中的应用
  5. coal ash fusion temperature
    煤灰熔点

coal ash fusion的相关资料:

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