机译:利用回归和人工神经网络分析MWCNT / SiO_2液压油纳米油脂的流变性能
Dept of Mechanical Engineering University of Engineering & Management Kolkata India Dept of Mechanical Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad India;
Dept of Computer Science & Engineering University of Engineering & Management Kolkata India;
School of Mechanical Engineering Lovely Professional University Punjab India;
Dept of Mining Machinery Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad India;
Dept of Mechanical Engineering Indian Institute of Technology (Indian School of Mines) Dhanbad India;
Viscosity, Nanolubricant; MWCNT-SiO_2; Regression; Artificial neural network;
机译:MWCNT(COOH-官能化)/ MgO - 发动机油杂交纳米流域流变行为的研究,并用人工神经网络建模结果
机译:人工神经网络和回归Pedo传递函数预测胡塞斯坦省土壤饱和导水率的比较
机译:利用人工神经网络和多元线性回归对土壤液压导电的预测建模
机译:通过人工神经网络预测磁化流变磨削流动整理过程的表面粗糙度及回归分析
机译:人工神经网络,分类树和多元线性回归的比较分析,用于预测零售雇员的任期和营业额
机译:EEG信号分析使用分类技术:Logistic回归人工神经网络支持向量机和卷积神经网络
机译:估计土壤液压性能中人工神经网络和回归PTF的评价