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double glow plasma carbonizing
相关语句
  双辉离子渗碳
     Many groups of experiments of the double glow plasma carbonizing on stainless steel 1Cr18Ni9Ti were done.
     采用多组双辉离子渗碳工艺对1Cr18Ni9Ti不锈钢进行了试验研究。
短句来源
     Prediction of Properties of Double Glow Plasma Carbonizing Based on Artificial Neural Network
     基于神经网络的双辉离子渗碳性能预报
短句来源
     Property Prediction of Double Glow Plasma Carbonizing on Stainless Steel Based on Artificial Neural Network
     基于人工神经网络的不锈钢双辉离子渗碳性能预报
短句来源
     The theory and algorithm of artificial neural network were applied in the research of double glow plasma carbonizing.
     将人工神经网络理论和算法应用于双辉离子渗碳的研究,在对人工神经网络训练的基础上,建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
短句来源
  相似匹配句对
     Prediction of Properties of Double Glow Plasma Carbonizing Based on Artificial Neural Network
     基于神经网络的双辉离子渗碳性能预报
短句来源
     Change of source cathode by double glow plasma
     双层辉光离子多元共渗中的源极变化
短句来源
     The theory and algorithm of artificial neural network were applied in the research of double glow plasma carbonizing.
     将人工神经网络理论和算法应用于双辉离子渗碳的研究,在对人工神经网络训练的基础上,建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
短句来源
     Property Prediction of Double Glow Plasma Carbonizing on Stainless Steel Based on Artificial Neural Network
     基于人工神经网络的不锈钢双辉离子渗碳性能预报
短句来源
     The Double Glow Plasma Surface Alloying of Cast Iron
     铸铁为基双层辉光离子渗金属
短句来源
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The theory and algorithm of artificial neural network were applied in the research of double glow plasma carbonizing. On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built. It presents an advanced and effective approach to the prediction of properties of the double glow plasma carbonizing.

将人工神经网络理论和算法应用于双辉离子渗碳的研究,在对人工神经网络训练的基础上,建立了双辉离子渗碳工艺与渗层性能预报的数学模型。试验结果验证了性能预报神经网络模型的可靠性,为解决双辉离子渗碳性能预报问题提供了一条先进、合理的途径。

Many groups of experiments of the double glow plasma carbonizing on stainless steel 1Cr18Ni9Ti were done. The microhardness and the wear resistance of carbonized layer were measured.The artificial neural network was used to research the double glow plasma carbonizing. On the basis of the training of artificial neural network, the mathematics model on the relationship between the double glow plasma carbonizing and property prediction was built. The reliability of property prediction model was...

Many groups of experiments of the double glow plasma carbonizing on stainless steel 1Cr18Ni9Ti were done. The microhardness and the wear resistance of carbonized layer were measured.The artificial neural network was used to research the double glow plasma carbonizing. On the basis of the training of artificial neural network, the mathematics model on the relationship between the double glow plasma carbonizing and property prediction was built. The reliability of property prediction model was tested and verified by the experiment result.It presents an advanced and effective approach to solve the property prediction of the double glow plasma carbonizing.

采用多组双辉离子渗碳工艺对1Cr18Ni9Ti不锈钢进行了试验研究。对渗后试件的显微硬度、耐磨性等指标进行测试。将人工神经网络应用于双辉离子渗碳的研究,在对人工神经网络训练的基础上,建立了双辉离子渗碳工艺与渗层性能预报的数学模型。试验结果验证了性能预报神经网络模型的可靠性,为解决双辉离子渗碳性能预报问题提供了一条先进、合理的途径。

 
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