机译:LS-SVM和小波神经网络对低压宽带电力线噪声进行建模和比较
North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China;
North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China;
North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China;
North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China;
State Grid Informat & Telecommun Ltd Co, Beijing 100070, Peoples R China;
State Grid Informat & Telecommun Ltd Co, Beijing 100070, Peoples R China;
least squares approximations; learning (artificial intelligence); telecommunication channels; support vector machines; carrier transmission on power lines; telecommunication computing; autoregressive processes; wavelet neural nets; time-varying channels; classical machine learning algorithms; time-variant PLC channels; noise measurements; low-voltage PLC channels; noise models; time-variant low-voltage broadband PLC channels; LS-SVM model; shorter simulation time; noise generator; network level simulations; autoregressive models; low-voltage broadband power line communication channel noise; least square support vector machine; Markovian-Gaussian model; wavelet neural networks; measurement data;
机译:基于小波分解的最小二乘支持向量机(LS-SVM)和人工神经网络(ANN)的风电功率预测模型的比较
机译:常规人工神经网络与小波神经网络在醛和酮半波电势建模中的比较
机译:基于小波包分解,自适应噪声完全集成经验模态分解和人工神经网络的两种新型智能风速预测方法的比较
机译:神经网络从听觉诱发电位预测麻醉深度:小波变换与自回归建模和功率谱特征提取方法的比较
机译:电力系统暂态分类和短期电力负荷预测中的小波和人工神经网络。
机译:小波样变换可优化自回归神经网络模型的阶数从而根据传感器数据预测电力变压器油中的溶解气体浓度
机译:基于小波分解的最小二乘支持向量机(Ls-sVm)和人工神经网络(aNN)的风电功率预测模型比较
机译:空间站直流电力系统故障分析 - 基于神经网络自适应小波的故障检测