机译:基于深度神经网络的影响对热需求预测的多模式因子的影响分析
Beijing Univ Posts & Telecommun Pattern Recognit & Intelligent Syst Lab Beijing 100876 Peoples R China;
Beijing Univ Posts & Telecommun Pattern Recognit & Intelligent Syst Lab Beijing 100876 Peoples R China;
Malardalen Univ Sch Business Soc & Engn S-72220 Vasteras Sweden|Tianjin Univ Commerce Sch Mech Engn Tianjin Key Lab Refrigerat Technol Tianjin 300134 Peoples R China;
Shandong Univ Inst Thermal Sci & Technol Jinan 250100 Shandong Peoples R China;
Malardalen Univ Sch Business Soc & Engn S-72220 Vasteras Sweden;
Beijing Univ Posts & Telecommun Key Lab Univ Wireless Commun Minist Educ Beijing 100876 Peoples R China;
Beijing Univ Posts & Telecommun Pattern Recognit & Intelligent Syst Lab Beijing 100876 Peoples R China;
District heating; deep learning; Elman neural network; heat demand; direct solar irradiance; wind speed;
机译:深度卷积神经网络基于脑卒中的鉴定与诊断基于深度卷积神经网络的多模式MRI图像
机译:评估基于深度递归神经网络的短期建筑能耗预测策略
机译:打开黑匣子:基于可解释的深度神经网络的分类器,用于细胞类型特定的增强子预测
机译:神经网络热需求预测关键因素分析
机译:癫痫发作模式和深神经结构对癫痫癫痫发作预测的多种特征分析
机译:打开黑匣子:基于可解释的深度神经网络的分类器用于细胞类型特定的增强子预测
机译:神经网络预测供热的关键因素