Secondly, the weighted relative entropy was got by integrating relative entropy of multiple measures with weighted coefficients.
然后，通过加权系数融合多个测度相对熵而得到加权相对熵；
This paper also thinks that weighted coefficients are not only concerned with types of concrete structure, but also some other factor...
进而提出“权系数”并非只与建筑物的类型有关，并应用模糊理论推导了权系数的定量计算式。
These methods maintained the visual effect of wavelet, reduced the computation complexity to a great extent, and optimized the computation of weighted coefficients.
该方法保留了小波的视觉效果，同时在很大程度上减少了运算的复杂度，优化了加权系数的计算方法，得到了较好的融合效果。
The position and the weighted coefficients can be optimized at the same time. The cases showed that this method had a strong ability to find to global optimization solution.
实验实例表明：该算法收敛速度快，有极强的避免过早收敛及避免局部极值的全局优化的能力。
In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.
给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。
Based on the primary qualitative method, we propose an annual runoff prediction model using weighted sum of wavelet coefficients of major periods to predict the periodic components.
本文在原有定性分析方法的基础上，提出基于年径流时间序列主周期小波系数加权求和预测周期成分的年径流预测模型。
The modified method USES adaptive weighted addition to obtain the fused scale coefficients according to the corresponding scale coefficients of the different source images.
改进算法对不同源图像的对应尺度系数进行自适应加权相加，以获得融合后的尺度系数。
The key problem to be solved is how to obtain weighted averaging coefficients of combination forecasting.
其研究的核心的问题就是如何求出组合预测加权平均系数。
This paper is based on the weighted method and using the principal components to determine the weight coefficients among multiattributes so as to make decisions.
本文以离散多准则决策理论中的加权方法为基础，运用主成份分析确定不同评价目标或准则间的加权系数从而进行有限方案多目标决策。
This paper is based on the weighted method and using the principal components to determine the weight coefficients among multiattributes so as to make decisions.
本文以离散多准则决策理论中的加权方法为基础，运用主成份分析确定不同评价目标或准则间的加权系数从而进行有限方案多目标决策。
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