机译:基于加权最优模糊c均值和模块化极限学习机的风速预测新方法
School of Electrical Engineering, Northeast Electric Power University, Jilin, People’s Republic of China;
School of Electrical Engineering, Northeast Electric Power University, Jilin, People’s Republic of China;
School of Electrical Engineering, Northeast Electric Power University, Jilin, People’s Republic of China;
Wind speed prediction; weighted attributes; the fuzzyc-means clustering method; extreme learning machine; prediction accuracy;
机译:基于自适应神经模糊加权极限学习机的空气污染物浓度预测方法研究
机译:改进了基于灰色相关分析的正则化极限机短期风速预测
机译:基于属性减少的改进正则基极学习机的短期风速间隔预测
机译:超短期风力电力预测基于长短短路内存网络和极限学习机的预测方法
机译:模糊聚类质量和速度的研究:有效播种的模糊C均值
机译:一种有效的计算方法用于使用加权极限学习机预测药物目标交互加快机器人特征
机译:基于加权普通极端学习机的短期风速预测