forecasting accuracy

The RBF network has a better performance , and better forecasting accuracy .

因此提高了学习性能，具有较好的预测精度。

Processing historical load data is first to solve the problem in improving the load forecasting accuracy in power system .

对历史负荷数据进行处理是提高电力系统负荷预测精度首先要解决的问题。

Surface movement parameters ' optimal properties decide the forecasting accuracy .

地表移动参数的最优性质决定了预测的准确性，求取地表移动参数及地表沉陷趋势的预测是本文研究的主要内容。

Load forecasting accuracy has a direct impact on the development of power industry .

负荷预测的准确与否，直接影响电力工业的发展。

With above-mentioned method the wind speed forecasting accuracy was effectively improved .

该方法有效地提高了风速预测的精度。

The simulation results show that the presented method is effective in improving the forecasting accuracy .

仿真结果表明，组合模型法能有效地提高数据序列的预报准确度。

On an Analysis of Forecasting Accuracy Again

再论预测的精度问题

The Influence Analysis of Wavelet Transform Scale Value on Inflow Runoff Forecasting Accuracy

小波变换尺度数对入库径流预测精度的影响

Results show that the new method can improve the forecasting accuracy of air quality in a certain degree .

结果表明，采用新方法制作的空气质量预报准确率有一定程度提高。

The total forecasting accuracy is 83.33 % .

总预测成功率为83.33%。

Forecasting accuracy of daily mean API can exceed 80 % ;

日均API的预报准确率可达80%以上；

The actual calculation results indicate that the training speed and the forecasting accuracy are satisfactory .

实际算例结果表明，采用该算法及其程序进行短期负荷预测，可得到令人满意的训练速度及预测精度。

The model Set up has been tested to have a forecasting accuracy of higher than 90 % .

所建模型经检验预报精度在90%以上。

Especially ARMA model with weighted least square estimate is good performance in forecasting accuracy .

尤其是采用加权最小二乘估计的ARMA模型，预报精度更高。

In order to improve exchange rate forecasting accuracy and reliability , new methods and models continue to appear .

为了提高汇率预测的精确度和可靠性，新的方法和模型不断的出现。

With performing better forecasting accuracy , the method is generally suitable for short-term load forecasting .

本方法适合在短期负荷预测中使用，具有较好的预测精度。

How to effectively improve the power load forecasting accuracy is an critical question we have to discuss .

因此，如何采用合理的电力负荷预测技术提高负荷预测精度是我们亟需探讨的问题。

Experimental results indicate that a hybrid ARMA-ANN model can improve the load forecasting accuracy .

实证证明，ARMA-ANN组合预测能提高负荷预测的精度。

Taking full use of their results can improve short-term load forecasting accuracy of provincial gird .

充分利用下级单位的负荷预测结果，可以提高短期负荷预测精度。

Result indicates that the forecast model has high forecasting accuracy , and it can satisfy the requirements of performance forecast .

试验结果表明：所建预测模型具有较高的预测精度，基本满足产品性能预测的要求。

The forecasting accuracy of temperature anomaly and rainfall anomaly ratio is 75 % and 63 % respectively .

温度距平和雨量距平率的外推预报准确率分别为75%和63%。

In the real complex systems , temperature , and the finite digital computer can produce additive errors , reduce forecasting accuracy .

在实际预测中，温度，数值运算的有效位数等一系列因素增加了预测误差，降低了预测准确度。

By this study , we believe that it can increase scientific and forecasting accuracy , it also extent the new application area for statistics .

通过这一研究，不仅可以提高预测方法的科学性与预测精度，而且可以开辟统计学与应用研究的新领域。

The example shows that the combined forecast can improve the forecasting accuracy and its stability in the electric load short-term forecasting .

实例表明，组合预测法能在短期电力预测中改善预测精度，提高预测的稳定性。

The experiments are focused on the comparisons of the two data structures at the respects of forecasting accuracy and time consumption .

重点对于数据库的两种数据结构在预测准确度和预测所需时间上进行比较。

GA also is used in this paper to the attribute 's discretion and neural network learning to find the optimized forecasting accuracy .

利用遗传算法进行属性离散化和网络权重的优化获得了较优的预测精度。

The identification of ARPA 's Target maneuver relates to the forecasting accuracy of target 's trace .

对目标机动的识别关系到目标轨迹外推的准确性，由于噪声的影响，机动引起的机械能的变化淹没在噪声中。

Short-term load forecasting accuracy , it is possible to set aside an appropriate grid system peaking capacity to make a reference .

短期负荷的预测精度，能够给电网系统预留适当的调峰容量做出参考。

Therefore , the forecasting accuracy of the quantity of Direct-power-purchasing determines the degree of difficulty of negotiation .

因此，大用户对实际需求电量预测的准确性直接决定了直购电交易谈判的难易度。

The empirical study indicated that BV Model has the best forecasting accuracy . For high risk companies , the other two models fit , either .

实证研究表明，BV模型对市场上的公司整体来说，预测性能最好，但对于高风险公司而言，另外两个模型也同样适用。