机译:基于经验模分解的多输出前馈神经网络信号滤波在电力需求预测中的应用
Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, School of Computer and Information, Hefei University of Technology, Hefei 230009, China;
School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China;
School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China;
College of Engineering and Applied Science, Stony Brook University, Stony Brook, NY 11794, USA;
School of Business Management, North China Electric Power University, Beijing 102206, China;
EMD-based signal filtering; seasonal adjustment; feedforward neural network; electricity demand forecasting; multi-output forecasting;
机译:TFT-LCD行业基于经验模式分解和神经网络的混合需求预测模型
机译:基于经验模态分解和神经网络的旅游需求预测
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:基于经验模式分解的随机矢量功能链接网络的电力需求时间序列预测
机译:通过人工神经网络为时空救护车需求开发准确的预测模型:现有预测技术与人工神经网络的比较研究。
机译:校正:基于经验模式分解的短期短期内存神经网络预测模型的短期地铁乘客流量
机译:经验模式分解与动态回归模型相结合的电力需求预测