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固定加权
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  fixed weight
     Residue arithmetic can remarkably improve the performance-cost ratio not only of digital filters with fixed weight coefficient but also, as shown in this paper, of adaptive ones with changeable weight coefficient.
     剩余算术不但可以显著改善有固定加权系数的滤波器的性能价格比,而且如本文所例证的那样,也能大大提高加权系数可变的自适应数字滤波器的性能价格比。
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  “固定加权”译为未确定词的双语例句
     Considering the difference of the marginal increment of generation in each hour,this paper compares the NNLS,NNWLS and NNFWLS method used in the neural network training.
     与传统的用于负荷预测的神经网络的训练相比 ,本文提出的方法更加符合实际而且经济效益更好。 同时文中分别采用完全平方法 (NNLS) ,固定加权因子的加权完全平方法 (NNWLS)和带动态的模糊化加权因子的加权完全平方法 (NNFWLS)进行网络训练并进行比较。
短句来源
  相似匹配句对
     Weighted Shift Operators
     加权移位算子
短句来源
     Weighted Sorting
     加权排序法
短句来源
     (2) fixation;
     (2)固定;
短句来源
     Random Weighted Approximation in Semiparametric Regression Model Under Fixed Design
     固定设计下半参数回归模型中的随机加权逼近
短句来源
     Weighting Adjustment of Wave Non-response in Panel Surveys
     固定样组纵向调查“间歇式”期单元无回答的加权调整
短句来源
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  fixed weighting
The Fixed Weighting Nature of A Cross-Evaluation Model
      
We evaluate a simplified LMMSE channel estimation algorithm in a transmit diversity environment by applying a significant weight catching (SWC) technique to the LMMSE fixed weighting matrix.
      
Different schemes were explored to combine the classifiers in either a fixed weighting or a per-query weighting scheme.
      
Furthermore, in order to conduct analysis on a longer period, the fixed weighting scheme should be replaced by chained indexes.
      
In the absence of any specific knowledge we even very much doubt whether any fixed weighting scheme should be applied at all.
      
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  fixed weight
In the traditional exponential smoothing method, a fixed weight is assigned to data history, and the trend changes of time series are ignored.
      
The dynamics of this procedure is distinct from fixed weight updates.
      
Versal Deformations in Spaces of Polynomials of Fixed Weight
      
They also do not consider the fact that the ratio of number of TCP connections and the fixed weight does not reflect die real load of node.
      
In this paper we introduce our attempts in improving the scheduling algorithms and propose a variable weighted least-connection algorithm, which assigns variable weight, instead of fixed weight, to each node according to its real time resource.
      
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A kind of residue number system (RNS) in which the order of modulo multiplication and scaling, operation is reduced from three to two is discussed in this paper. Three simple but practical examples of RNS adaptive noise cancellers are given: 1, The two-modulo RNS adaptive system with a speed twice that of the adaptive noise canceller based on binary number system with the same precision and the same numbers of hardware; 2, The two-modulo RNS weight-adjusting and three-modulo RNS weight-cancelling RNS adaptive...

A kind of residue number system (RNS) in which the order of modulo multiplication and scaling, operation is reduced from three to two is discussed in this paper. Three simple but practical examples of RNS adaptive noise cancellers are given: 1, The two-modulo RNS adaptive system with a speed twice that of the adaptive noise canceller based on binary number system with the same precision and the same numbers of hardware; 2, The two-modulo RNS weight-adjusting and three-modulo RNS weight-cancelling RNS adaptive systems without any error of internal operation; 3, The multimicroprocessor-based poly-prime number RNS adaptive system. Residue arithmetic can remarkably improve the performance-cost ratio not only of digital filters with fixed weight coefficient but also, as shown in this paper, of adaptive ones with changeable weight coefficient. The results of thesimulation on computers are consistent with the theoretical analysis.

本文讨论了使级联的模乘和标度运算从三次减少到两次的剩余数制(RNS)自适应最小均方算法;分析和计算了三个简单实用的RNS自适应噪声对消器(自适应系统):1.两模RNS自适应系统,其速度比有同等硬件量和精度的二进制自适应噪声对消器高一倍;2.极经济地实现无内部运算误差的两模RNS权调整三模RNS加权对消的RNS自适应系统;3.用多微处理器实现的多素数模RNS自适应系统。剩余算术不但可以显著改善有固定加权系数的滤波器的性能价格比,而且如本文所例证的那样,也能大大提高加权系数可变的自适应数字滤波器的性能价格比。计算机模拟与理论分析一致。

Like many other papers,this paper uses the ANN to forecast the load.Considering the difference of the marginal increment of generation in each hour,this paper compares the NNLS,NNWLS and NNFWLS method used in the neural network training.The simulation results show that NNFWLS method is not always better than NNLS in each forecasting point. So, this paper brings up a mixed method of combining the NNLS and NNFWLS method to forecast the load in order to gain the best economic result and precision.How to choose...

Like many other papers,this paper uses the ANN to forecast the load.Considering the difference of the marginal increment of generation in each hour,this paper compares the NNLS,NNWLS and NNFWLS method used in the neural network training.The simulation results show that NNFWLS method is not always better than NNLS in each forecasting point. So, this paper brings up a mixed method of combining the NNLS and NNFWLS method to forecast the load in order to gain the best economic result and precision.How to choose some parameters needs more research.

考虑到每个小时发电成本各异 ,因此本文在训练用于负荷预测神经网络时采用了带动态的模糊化加权因子的加权完全平方法的训练方法。与传统的用于负荷预测的神经网络的训练相比 ,本文提出的方法更加符合实际而且经济效益更好。同时文中分别采用完全平方法 (NNLS) ,固定加权因子的加权完全平方法 (NNWLS)和带动态的模糊化加权因子的加权完全平方法 (NNFWLS)进行网络训练并进行比较。仿真结果显示在整个预测周期中采用加权完全平方法的经济效益明显好于直接完全平方法 ,而模糊化加权因子完全平方法的结果又好于加权完全平方法。但NNFWLS并不是在每个预测点都好于NNLS ,因此在文中提出综合运用NNLS和NNFWLS来进行负荷预测以取得最佳的经济效益。有关参数的选择还有待于进一步的探讨。

The fuzzy inference based founds allocation approach can integrate the decision makers preference expressed in natural language.It is more fit to the real decision process compared with the static weighted approach.

提出基于模糊推理的智能资金分配模型及分配方法 ,可以将决策者以自然语言形式表达的知识集成到问题求解过程中 ,与以往的单一的固定加权求解方法相比 ,不仅容易理解 ,而且更加贴近实际

 
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