time series model造句
例句與造句
- Identification of time - varying modal parameters of structure using output error time series model
利用輸出誤差時間序列模型識別結(jié)構(gòu)時變模態(tài)參數(shù) - An application of time series model to analyze potential turnout of agricultural and special local products
時間序列模型在農(nóng)特產(chǎn)產(chǎn)量潛力分析中的應(yīng)用 - Some mining models , such as sequence clustering and time series models , can contain multiple key columns
某些挖掘模型（如順序分析和聚類分析以及時序模型）可能包含多個鍵列。 - Because a time series model can contain multiple keys , both timeindex and modelregion are designated to be key columns
由于時序模型可以包含多個鍵，因此將timeindex和modelregion都指定為鍵列。 - Function can be used with time series models to return or filter on the time lag between each case and the initial time
函數(shù)可與時序模型一起使用，以返回或篩選每個事例與初始時間之間的時間間隔。 - It's difficult to find time series model in a sentence. 用time series model造句挺難的
- Time series model can simulate and predict the increase of quercus variabilis population by the difference , periodic method
摘要時間序列分析可以通過差分、周期的方法，對植物種群的增長進(jìn)行模擬與預(yù)測。 - Model 2 is a brandnew time series model , which is extension of model 1 . model 3 is the generalization of model 1 and model 2
模型2是一個全新的時間序列模型，它是模型1的延伸；模型3是模型1和模型2的一般化。 - The prediction of stock market based on the artificial neural network has almost the same precision as that based on time series models
通過人工神經(jīng)網(wǎng)絡(luò)得到的預(yù)測結(jié)果基本上與較傳統(tǒng)的時間序列理論得到的預(yù)測結(jié)果精度相似。 - The contributions of the thesis are as follows : ( 1 ) . introduce multivariate fuzzy time series models , compares the merits and defects of different models , and propose the improved method . ( 2 )
本文的主要創(chuàng)新有下面幾點(diǎn): ( l )系統(tǒng)地總結(jié)與評介三種不同的多變量模糊時間數(shù)列模型的建構(gòu)步驟與流程，比較其特性、優(yōu)缺點(diǎn)及改進(jìn)方法。 - In the last decade , there exist two active lines on the investigation of nonlinear time series . one is the autoregressive conditional heteroscedasticity ( arch ) model , the another is the nonstationary ( unit root ) time series model
對非線性時間序列的研究，近幾十年來，有兩條研究路線非常活躍，其一是自回歸條件異方差( arch )模型，其二是非平穩(wěn)(單位根)時間序列模型。 - The empirical result of analyzing here can be concluded as follows : the error of adaptive neuro - fuzzy inference systems ( anfis ) is the smallest , multivariable fuzzy time series models is the second smallest , and grey forecasting is the third smallest
實(shí)證結(jié)果得知在有限資料筆數(shù)下，適應(yīng)性類神經(jīng)模糊推論系統(tǒng)（簡稱anfis ）預(yù)測結(jié)果較佳，多變量模糊時間數(shù)列模式次之，灰色預(yù)測模式第三。 - The difference between the three models as indicated above and the general nonlinear time series models lies in the fact that the three new models reflect the factors of the interference in a system as well as the system itself influenced by sudden environment change
上述三個模型與一般非線性時間序列模型的不同之處是，這三個新的模型反映了對一個系統(tǒng)的干擾以及系統(tǒng)本身受環(huán)境突變影響的因素。 - Those are classical time series analysis , markov model , grey predicting , artificial neural network ( ann ) . in terms of indemnifying model coefficients , the author develops two ga versions embedded the two bit genetic operators , for evaluating classical time series models and the weights of ann
針對模型參數(shù)識別問題，筆者又提出了兩種嵌入了基本位遺傳操作算子的ga新策略，分別用于識別經(jīng)典時序模型的參數(shù)和優(yōu)化人工神經(jīng)網(wǎng)絡(luò)模型(簡稱ann )的權(quán)重。 - Then the paper investigated the regularity of different oil indices using time series statistical analysis method , which suggested that there are some regular components in it , including long - term secular trend , seasonal component and long - term cyclical component . the irregular component also plays an important part in it , mainly including the policy of opec , war , all kinds of international convention for the prevention of pollution from tankers and so on . and then a study of simulation and forecasting performance of arima time series model was conducted to crude oil indices , evidence shows that arima model performs better , especially for short - term forecasting
在此基礎(chǔ)上，本文以時間序列分析作為基礎(chǔ)研究手段，以德國海運(yùn)費(fèi)率指數(shù)公布的1980年1月至1999年12月的四類油運(yùn)費(fèi)率指數(shù)為研究對象，分析了四類油運(yùn)費(fèi)率指數(shù)的長期變化趨勢、季節(jié)變化規(guī)律、長期周期循環(huán)變化規(guī)律和不規(guī)則變化規(guī)律，并應(yīng)用arima時間序列模型對160000dwt以上的原油運(yùn)費(fèi)率指數(shù)進(jìn)行了短期預(yù)測，取得了較好的預(yù)測效果。 - Agglomerative effectiveness : the effect on regional economical inequality because of industrial agglomeration . in order to show the effects of industry on regional inequality , the model of panel data is applied to analyze the relationship between industrialization and economy growth . , which is helpful to estimate whether the tendency of growth is convergence and the structural effectiveness . the time series model is used to analyze the effect of industrial agglomeration on regional inequality , where gini coefficient is taken as the index of industrial agglomeration
為了更清楚地把握工業(yè)在地區(qū)差距上的效應(yīng),本文用面板數(shù)據(jù)模型分析工業(yè)化程度和經(jīng)濟(jì)增長之間的相關(guān)關(guān)系,從而判斷區(qū)域經(jīng)濟(jì)發(fā)展趨勢是否收斂,工業(yè)在“結(jié)構(gòu)效應(yīng)”方面的影響;計算表示工業(yè)集聚程度的基尼系數(shù),通過時間序列模型分析工業(yè)集聚對地區(qū)經(jīng)濟(jì)差距的“集聚效應(yīng)”影響。