The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neural network.
讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。
The model was solved using finite difference method. Influences on crude oil recovery of dimensionless conductivity, electrode position and electrode radius are simulated also.
利用有限差分法对该模型进行了求解，并对无因次电导率、电极位置和电极半径对原油采收率的影响进行了模拟试验研究。
The model was solved using finite difference method. Influences on crude oil recovery of dimensionless conductivity, electrode position and electrode radius are simulated also.
利用有限差分法对该模型进行了求解，并对无因次电导率、电极位置和电极半径对原油采收率的影响进行了模拟试验研究。
应用推荐