机译:基于自适应极限学习机的电力通信带宽预测
State Grid Henan Economics Research Institute Zheng Zhou 450052 China;
State Grid Henan Economics Research Institute Zheng Zhou 450052 China;
State Grid Henan Electric Power Company Zheng Zhou 450052 China;
Jiangsu Collaborative Innovation Canter on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 China;
Jiangsu Collaborative Innovation Canter on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 China;
Jiangsu Collaborative Innovation Canter on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 China;
electric power communication; bandwidth prediction; extreme learning machine; ELM; K nearest neighbours;
机译:通过自适应进化极端学习机优化风力发电预测间隔的先进方法
机译:基于正规化的极端学习机的自适应鲸井优化算法优化的CO_2排放预测与分析
机译:基于自适应蚱蜢优化算法的特征选择,具有增强的极端学习机分类器,用于冠状动脉心脏病预测
机译:使用自适应极限学习机的电力通信带宽预测
机译:股票价格预测采用自适应时间序列预测和机器学习算法
机译:使用优化的极限学习机的飞机辅助动力装置性能传感数据预测
机译:深度学习电力通信网络业务需求的带宽预测
机译:解决基于机器学习的网络入侵检测系统中极端类不平衡的方法。