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1)  time profit factor
时间收益因素
1.
Elman neural network is a dynamic feedback network,an improved model is proposed based on the Elman neural network by introducing time profit factor and applied to the prediction of the composite index of stock.
通过在具有动态反馈机制的Elman神经网络的基础上引入时间收益因素,提出了一种改进的Elman神经网络模型并将其用于对股票的综合指数进行预测,进而求其收益率。
2)  time factor
时间因素
1.
Influence of time factor on the dissolution of wax framework sustained-released tablets;
时间因素对蜡质骨架型缓释片释放度的影响研究
2.
Point-guiding of planar cam guiding mechanism under the consideration of time factor;
平面凸轮引导机构考虑时间因素下的点导引
3.
This paper analyzes the time factor of twoheat sequential casting at No1 EAF Steelmaking Plant of Guangzhou Iron & Steel Co, Ltd Applying the concept of time point,time domain,time sequence and time position firstly, the function of buffering and matching of LF is explained quantitatively Corresponding with the time position, the temperature change of steel in LF is analyzed.
对广钢第一电炉炼钢厂两炉连浇流程中时间因素进行解析,首次应用时间点、时间域、时间序、时间位等概念定量解释了LF精炼炉的缓冲调节功能,分析不同时间位所对应的精炼工序的温度变化,得出了比较优化的操作方案。
3)  Time factors
时间因素
1.
There are many time factors which can decide the effect of school physical education, among which the time curves of life activities, of knowing things, of over-restoration, of the development of athletic skills, and of the change of the body抯 functioning ability are the most important.
决定学校体育成效的时间因素诸多,其中人的生命活动的时间曲线、认识事物的时间曲线、超量恢复的时间曲线、运动技能形成的时间曲线和人体机能活动能力变化的时间曲线是重要的因素。
4)  direction profit factor
惩罚收益因素
1.
The improved OIF Elman neural network was proposed to assess and forecast the atmospheric quality by introducing the direction profit factor to the OIF Elman neural network.
通过在OIF Elman(Output-Input Feedback Elman)神经网络模型中引入惩罚收益因素,提出了一种基于OIF Elman神经网络的改进模型,并将其用于大气质量的预测和评价。
5)  time-adjusted rate of retur
时间调整收益率
6)  returns time series
收益时间序列
1.
Applying the methods of processing approximate entropy and information entropy in the process of returns time series in stock market,several relative aspects charateristics about the main stock market index are obtained.
将处理脑电波近似熵和信息熵的方法应用于对股票市场的收益时间序列的处理,并得到了一些全球主要股票指数的相关特征。
补充资料:非密度制约因素(见密度制约因素)


非密度制约因素(见密度制约因素)


  l焦非密度制约因素见生态因素、密度制约后
  
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