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New Weighting Coefficients Algorithm of Weighted Geometric Means Combination Forecasting

机译:加权几何均值组合预测的新加权系数算法

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摘要

Based on the principle of the least squares sum of forecast logarithm errors,the determination of weighting coefficients in weighted geometric means combination forecasting will be transformed as the problem of extremum seeking under constrained condition.Making use of Lagrange multiplier method,a concise matrix representation of weighted coefficients is given.
机译:根据预测对数误差的最小二乘和原理,将加权几何均值组合预测中权重系数的确定转换为约束条件下的极值搜索问题。采用拉格朗日乘数法,简洁的矩阵表示给出了加权系数。

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