Chinese translation for "时间序列法"

time series method

Related Translations:

凸序列:  convex sequence

递减序列:  decreasing sequence

因果序列:  causal sequence

序列复杂性:  sequence complexity

机器序列:  machine sequencing

引入序列:  calling sequencecalling-sequence

差数序列:  difference sequence

调控序列:  regulatory sequence

序列地形:  sequential land form

序列信号:  sequence signal

Example Sentences:

	1.	Lastly , computer programs for the dynamic analysis and time series method are compiled in matlab 利用matlab语言编制了相应的求解机构运动学、动力学问题和应用时间序列法辨识模态参数的程序。
	2.	Time series methods are especially good for short - term forecasting where , within reason , the past behaviour of a particular variable is a good indicator of its future behaviour , at least in the short - term 时间序列法特别适合短期预测，原因之一是一个特定变量的可以由先前的属性推断出未来属性，至少短期可以。
	3.	It is the first time to use the conventional espi system ( neither phase shifting nor carrier is used ) to continuously analyze the super low frequency vibration with high quantitative in the world 在火箭固体燃料动态力学特性研究中，时间序列法成功的给出了固体燃料的蠕变曲线和蠕变速率曲线，并且给出了其热变形和蠕变不同时刻的全场位移分布。
	4.	The essay combines the fuzzy mathematic concept with time - series forecast method , and gets the forecast model of total social freight turnover based on improved time - series , hereby forecasts the total social freight turnover in 2006 摘要将模糊数学概念加入到时间序列预测方法中，得到了基于改进时间序列法的全社会货物周转量的预测模型，并据此预测了2006年的社会货物周转量。
	5.	In fact , hydrology system is dominated by the objective factors , such as weather , geography and human activities , with combination of determinacy and randomness . the chaotic analysis method combines determinacy and randomness , which seems more adaptive to describe hydrologic time series than conventional hydrologic methods , and becomes more and more attractive recently 本文打破以往传统分析中单一的确定性分析或随机性分析，在水文日流量时间序列中，引入将两者统一起来的混沌性，系统地研究了水文流量的混沌非线性时间序列法。
	6.	This system adopts cumulatively autoregressive moving average model [ arima ] of time series method and modified model gm ( 1 , 1 ) of grey system , makes a local load forecasting modeling through the integration of the above two models and also preprocesses the daily load during the sudden change of climate , thus greatly improving the forecast accuracy . the practical operation indicates that the model is reasonable and easy to operate with complete function 本系统在经过反复试算后，在算法上采用了时间序列法的累积式自回归动平均模型( arima )与灰色系统中的gm ( 1 ， 1 )改进模型，并将两种模型组合用于该地区负荷预报建模，另外还对气候急变日负荷进行了预处理，大大提高了预报准确度。
	7.	Based on the discussions of the conventional and recent methods of short term load forecasting such as time series , multiple regression approaches and artificial intelligence technologies , this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ) . in order to improve the convergence speed and precision of the back - propagation ( bp ) , a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given 本文首先分析比较了电力系统短期负荷预测的传统方法时间序列法和回归方法以及最近的专家系统和神经网络技术的优点和不足，然后针对人工神经网络bp算法的不足对其进行了改进，采用了基于拟牛顿的自适应算法，它提高了网络学习效率，具有较快的收敛速度和较高的精度。接着提出了改进的遗传算法来改善神经网络的局部收敛性。
	8.	This article utilizes the questionnaire survey and the scene investigation method , conducts the investigation and study to the yangtze river delta area silk expense in the foundation , the utilization supplies and the demand balanced analysis theory , the time series law , the tendency pre - measurement , the season analyzes the pre - measurement , the elastic analysis theory , as well as method and so on return analytic method carries on the comprehensive analysis to the cocoon silk profession , promulgates the influence cocoon silk profession development in order to the restriction factor , and seeks corresponding solution silk market long - term equilibrium and weakens the price undulation frequent countermeasure 本文运用问卷调查和现场调查方法,对长江三角洲地区的丝绸消费进行调查研究的基础上,运用供给和需求均衡分析理论、时间序列法,趋势预测法,季节分析预测法,弹性分析理论,以及回归分析法等方法对茧丝绸行业进行全面的剖析,以求揭示影响茧丝绸行业发展的制约因素,并寻求相应解决丝绸市场长期均衡和减弱价格波动频繁的对策。
	9.	This paper uses mathematics algorithm , to forecast the demand of natural gas and acquired some achievements . this paper makes an all - sided research for several commonly - use forecasting methods , such as time serial method , multi - variant regression method , gray system method , artificial neutral network method . the author analyzes merits and demerits of these methods and exerts these methods to forecast the demand of natural gas in sichuan 本篇论文对几种常用预测方法时间序列法、多元回归法、灰色系统法、人工神经网络法等进行了全面的研究，分析了几种方法的优缺点，运用了这几种预测方法对四川省天然气的需求量进行了预测，取得了比较好的效果。
	10.	There are many methods to gas load forecasting , including : regression analytical method , time serial method , elasticity coefficient forecasting , index analytical method , grey method , fuzzy logic forecasting , artificial neural network forecasting model , experts system forecasting model , optimizing combination forecasting model , etc . 用于燃气负荷预测的方法很多,包括:回归分析法、时间序列法、弹性系数预测法、指针分析法、灰色预测法、模糊逻辑预测法、人工神经网络预测法、专家系统预测法、优化组合预测法等。

Similar Words：

"时间序列的部分" Chinese translation, "时间序列的峰" Chinese translation, "时间序列的峰点" Chinese translation, "时间序列的季节效应" Chinese translation, "时间序列的修匀" Chinese translation, "时间序列方法的案例练习" Chinese translation, "时间序列分解" Chinese translation, "时间序列分析" Chinese translation, "时间序列分析的假定" Chinese translation, "时间序列分析法" Chinese translation