基于时间序列疏系数模型的太阳辐射年际变化趋势预测
利用1961—2016年山东省济南市太阳年总辐射量观测数据,通过模型识别和统计检验,对比分析时间序列模型AR(5)和ARIMA((1,2,4),1,0)的拟合结果。残差检验结果表明,疏系数模型ARIMA ((1,2,4),1,0)可用于预测地表太阳年总辐射量,预测结果显示2017—2025年济南市地表太阳辐射的年际变化整体呈增长趋势。对比多元线性回归模型结果 …
利用1961—2016年山东省济南市太阳年总辐射量观测数据,通过模型识别和统计检验,对比分析时间序列模型AR(5)和ARIMA((1,2,4),1,0)的拟合结果。残差检验结果表明,疏系数模型ARIMA ((1,2,4),1,0)可用于预测地表太阳年总辐射量,预测结果显示2017—2025年济南市地表太阳辐射的年际变化整体呈增长趋势。对比多元线性回归模型结果 …
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Nowadays, one of the most common approaches for video watermarking is to use singular value decomposition in the discrete wavelet transform domain. In our prior work, we formulated …
Richards’ equation is a classical differential equation describing water transport in unsaturated porous media, in which the moisture content and the soil matrix depend on the …
This paper introduces a simple but powerful segmentation algorithm for 3D meshes. Our algorithm consists of two stages: over-segmentation and region fusion. In the first stage, …
In the storm surge model, the wind drag coefficient C-d is a critical parameter that has a great influence on the forecast of the storm surge level. In the present study, the …
Polyphonic sound event detection aims to detect the types of sound events that occur in given audio clips, and their onset and offset times, in which multiple sound events may …