【摘 要】
：
The effect of oxidizing-heat-treatment conditions on the electricity performance of doped SrTiO3 ceramic is analyzed by using the theory of grey neural network.
【机 构】
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School of Computer,School of Materials Science and Engineering
【出 处】
：
武汉理工大学学报（材料科学版）（英文版）
论文部分内容阅读
The effect of oxidizing-heat-treatment conditions on the electricity performance of doped SrTiO3 ceramic is analyzed by using the theory of grey neural network. Based on the number of main parameters, the model of GNNM (1,1), GNNM (1,2), GNNM (1,3) is used to analyze and construct the corresponding model of GNNM (2,1) gray neural network. It can reach the required precision by calculating.
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