因素负荷

结果：蒙古族样本各分测验的g因素负荷在0.45至0.71之间，两因子结构和三因子结构都与汉族样本和常模样本基本相似。

Results : The ten subtests had 0.41 to 0.71 factor loading in the Mongolia sample .

以项目因素负荷量之考量所拟定的短版量表共有12题，信、效度同样表现良好。

The12-item short version of the scale formed based on factor loadings was also noted to have satisfactory reliability and validity .

本文详细讨论了BP网、Kohonen网两种神经网络和TSK型模糊推理系统的原理、结构和算法等基本问题，其中前两者用于对负荷坏数据的处理，后者用在多因素负荷预测建模。

The principles , constructures and algorithms of BP and Kohonen network and the TSK fuzzy model are discussed . The two neural networks are combined to processing the outliers in load data , while the fuzzy model is the kernel of a multi-factor load forecasting system .

其中因素负荷系数在0.6以上的有12个人格根源特质，它们可以解释5个公共因素总变异数的79.1%。

Among the five factors , the load coefficient of twelve traits were above 0.6 and they could interpret 79.1 % variance of them .

量表各个项目的因素负荷值均在0.35以上。②各个项目和维度的相关在0.30以上，并且相关性极其显著（P<0.01）。

The correlation coefficient of each item in the scale was over 0.35 . ② The correlation coefficient of each item with the dimension was over 0.30 , with statistical significance ( P < 0.01 ) .

同时，青少年运动员流畅状态问卷中，所保留项目的因素负荷均大于0.40，总方差解释率为52.4%，每一个因素项目含义清楚、可解释性较强，表明问卷有较好的结构效度。

Meanwhile , in the young athletes flow state questionnaire , the factor loadings of reserved item is greater than 0.40 , explanation rate of the total variance is 52.4 % , Item meaning of each factor clear and interpretable , indicating that the questionnaire has good construct validity .

在活性污泥系统的运行控制中，选用三磷酸腺苷（ATP）作为反映活性污泥微生物活性的指标，并系统考察了环境因素、负荷等对ATP的影响。

ATP ( adenosine triphosphate ) was used as an indicator to assess the microbial viability of activated sludge during the operation of wastewater treatment plants . Effects of different environmental factors ( including pollutant load ) on ATP was also studied .

基于关联分析的多因素电力负荷预测灰色模型群研究

Grey load forecasting models based on relational analysis of multi-factor

考虑气象因素的负荷预测方法研究及其系统实现

Study and System Realization of Load Forecasting Considering Weather Factors

二级模糊因素的负荷预测线性回归法

Liner Regression Method of Two-layer Fuzzy Factors for Load Forecasting

基于模糊推理系统的多因素电力负荷预测

Multi-factor short-term load forecasting based on fuzzy inference system

该方法从一定程度上屏蔽了随机因素对负荷预测造成的不利影响，提高了预测精度。

This method masks the influences of random factors on load forecast in a certain extent to improve the forecast precision .

它可以很好的体现多种气象因素对负荷曲线的综合影响，还可以避免网络的节点太多导致的网络太臃肿，加入气象因素的网络预测精度也会提高。

This approach can reflect influences of several meteorological factors on the load curve properly and avoid overstaffing network caused by nodes .

目前，国内外关于电力系统短期负荷预测的文献很多，但由于影响负荷的诸多因素和负荷的不确定性，使得短期负荷预测至今没有得到令人十分满意的解决。

But because many complex factors affect the load and load uncertainty , making short-term load forecasting has not been a very satisfactory solution .

介绍了短期负荷的特点，深入分析了温度、降雨量、时间等因素对负荷的影响。

This paper introduces the features of short-term loading , and then analyzes the impact of temperature , rainfall , and time on leading .

本文通过试验分析了影响柴油机磨合效果的主要因素&负荷、速度，并得出了以下结论：强化负荷和速度，是使磨合盛期提前到来、实现快速磨合的重要手段；

Based on experiments , analysis has been carried out to investigate the primary factors , load and speed , that affect the running-in result of a diesel engine .

一次指数平滑模型充分体现了负荷连续变化的趋势性和周期性，但是没有详细考虑天气因素对负荷的影响。

Single exponent smoothness model fully embodies the characters of trend and cycle of the continuous varying power load , but it can not think about the effect of the weather elements carefully .

本文利用蒙特卡洛法的随机思想，建立了配电网的序贯蒙特卡洛仿真模型，模拟电网的实时运行状态。全面考虑了元件故障、元件拒动以及计划检修等因素对负荷和系统可靠性的影响。

Using the idea of Monte Carlo method , a sequential MCS of the load model was established in this paper , which considered the impact of load and system by component failure , component refuse and planned maintenance .

最后考虑到电力负荷的曲线特性以及各种气象因素对负荷的影响，本文还提出了分时段分形基本预测模型及分时段分形改进预测模型。

Finally considering the curve characteristics of power load and various meteorological factors on the effect of load , this paper also puts forward of the fractal basic prediction model in different period and fractal improved prediction model in different period .

目前，实现提高预测精度这个目标的关键是如何更加合理地考虑气象因素对负荷的影响，因为气象敏感负荷在总负荷中所所占的比重越来越大。

Because the portion of the load sensitive to meteorology in the total load becomes more and more great , the key problem in the endeavor of improving the load forecasting accuracy is how to consider the influence of meteorological factors on power loads more reasonably .

考虑环保因素和负荷不确定性因素，上海某地区未来年的网络规划结果对比分析，说明了考虑环保因素和负荷不确定性因素规划的必要性和有效性。

Considering the environmental factors and load uncertainty , calculate the future results of years of network planning in a district of Shanghai , and compared it with the traditional deterministic model . The result shows the necessity and effectiveness to plan environmental factors and the uncertainty .

本文将这种新兴的智能技术与人工神经网络算法相结合，形成粒子群-神经网络（PSO-BP）混合算法，建立计及各种影响因素的短期负荷预测模型。

In this paper , a mixed PSO-BP algorithm is formed , which is the combination of PSO and artificial neural network ( ANN ) . Then , a short-term load forecasting model involving various influencing factors is built .

建立了因素影响的负荷预报模型；

A load forecasting model based on influencing factors is established .

基于负荷分解和实时气象因素的短期负荷预测

Short-Term Load Forecasting Based on Load Decomposition and Hourly Weather Factors

基于多因素影响的负荷预测神经网络方法

The neural network method of power load forecasting based on many factors influence

具有不确定因素的厂级负荷经济调度

Economic Load Dispatch with Uncertainties in Thermal Power Plant

田径运动员的心理因素与生理负荷

Athletes ' Psychological Factors And Physiological Loads

学生因素和工作负荷因素是不同国家和不同民族的教师所共同面临的压力源，是教师职业倦怠的重要影响因素。

Students and working-load were the problems to teachers from all kinds of countries and nations .

基于负荷内部特性和外部随机因素的短期负荷预测模型

A New Short-Term Load Forecasting Model Based on Internal Characteristic of Power Load and External Stochastic Factor

由于影响负荷的因素很多，负荷的准确计算是困难的。

But , it is difficult to calculate the heat loads correctly , since there are too many affecting factors .