神经网络偏最小二乘法(NNPLS)被应用于一种甲烷氧化偶联多组分催化剂的鲁棒反应模型的建立。
In this paper neural network partial least square (NNPLS) was used to establish a robust reaction model for a multi-component catalyst of methane oxidative coupling.
研究了在常温，常压及惰性气体稀释的条件下，用脉冲电晕放电进行的甲烷氧化偶联（OCM）反应。
Oxidative coupling of methane (OCM) at room temperature, under atmospheric pressure and in the absence of inert diluting gas by Pulsedcorona discharges was investigated.
研究了在常温，常压及惰性气体稀释的条件下，用脉冲电晕放电进行的甲烷氧化偶联（OCM）反应。
Oxidative coupling of methane (OCM) at room temperature, under atmospheric pressure and in the absence of inert diluting gas by Pulsedcorona discharges was investigated.
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