Online Analysis and Computing Science Laboratory, Chongqing University of Science and Technology, Chongqing, China;
Online Analysis and Computing Science Laboratory, Chongqing University of Science and Technology, Chongqing, China;
School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;
School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;
School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing, China;
School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;
Floors; Monitoring; Linear regression; Internet; Computational modeling; Real-time systems; Simulation;
机译:基于管道流量灵敏度矩阵的新型泄漏检测方法-以配水系统为例
机译:基于ANFIS方法的混合学习算法在复杂管道系统漏水检测中的应用
机译:使用多重线性回归分析和人工神经网络方法优化外加电流阴极保护系统中的阳极位置,以最小化水下电场
机译:一种使用多线性回归模型水地暖系统的管道泄漏检测方法
机译:利用实验方法和多元线性回归设计建立全系统交通死亡和重伤预测模型
机译:关于线性回归模型中缺失估计的多重插补最大似然和完全贝叶斯方法之间的关系的注释
机译:地下水质量预测的多元回归与多元线性回归(案例研究:Shiraz北部)
机译:线性回归中的多个异常值:检测方法,稳健估计和变量选择的进展