...PLS-GA)在校正模型中用来筛选特征光谱区域和波长,通过交互验证法确定模型的主成分因子数和筛选的波长,并以预测均方根误差(RMSEP)和相关系数(Ru)作为模型的评价标准.基于siPLS-GA的最优模型包含4个光谱区、96个变量和10个主成分因子.
基于386个网页-相关网页
...始光谱中初步筛选出4 540~5 346 cm-1和6 807~7 004 cm-1组合特征波段,R2和预测均方根误差(root mean square error of prediction,RMSEP)分别为0.978 9和0.064 3;然后分别用GA和SPA从特征光谱区域中筛选出与油脂酸值密切相关的特征波长变量,从GA和SPA 2种选择结...
基于10个网页-相关网页
以预测均方根误差 RMSEP
通过对华东某地市电网日负荷96 点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。
The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.
对测试数据的预测 结果表明，该预测系统能够可靠工作，预测结果的均方根 误差在 15%左右。
The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.
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