School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
Pipelines; Predictive models; Mathematical model; Neurons; Oils; Biological neural networks;
机译:使用RBF神经网络预测稳定土的最大干密度和最佳水分
机译:利用径向基函数(RBF)神经网络预测天然气脱水器中的水形成温度
机译:基于RBF神经网络的原油管道蜡沉积速率预测方法及支撑矢量机
机译:油气管凹槽深度RBF神经网络预测研究
机译:设计神经网络以预测科威特油气田的钻井参数。
机译:基于VMDPSRRBF神经网络的ECG信号混合预测方法
机译:使用径向基函数(RBF)神经网络预测天然气脱水器中的水形成温度