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- Spectral analysis of time series data analysis methods in hospital application 譜分析方法在醫院時(shí)間序列資料分析中的應用
- Returns predicted future or historical values for time series data. 返回時(shí)序數據的將來(lái)或歷史的預測值。
- Time series data set comes with a temporal ordering. 時(shí)間序列數據集伴隨著(zhù)一個(gè)時(shí)間上的排序。
- A time series data set is a sequence of random variables indexed by time. 時(shí)間序列數據是以時(shí)間為指標的一個(gè)隨機變量序列。
- The outer frequency spectra of wind waves are estimated with the time series data of wave elevation measured in the laboratory wind wave flume. 利用實(shí)驗室風(fēng)浪槽內測得的波面序列資料估計風(fēng)浪外頻譜。
- Time series data is continuous and can be stored in a nested table or in a case table. 時(shí)序數據是連續的,可以存儲在嵌套表或事例表中。
- Objective: Fit the forcast model that suit to the time series data of the Hospitalization Expenses of Injury Children. 摘要目的擬合適合兒童傷害住院費用時(shí)間序列資料的預測模型。
- On the basis of constructing the time series data with the same time interval by interpolation met... 計算實(shí)例表明,模型具有運算速度快、預測精度高的特點(diǎn),是一種具有應用前景的軟基預測新方法。
- Based on the algorithm of Kolmogorov entropy presented by Grassberger and Procaccia, as the time series data of silicon content in molten iron of No. 本文提出了使用最小二乘支持向量機模型預測高爐鐵水硅含量的方法,以山東萊鋼1號高爐在線(xiàn)采集數據作為應用案例。
- The results show that the proposed ODP is an effective and feasible technique to extract the features from the hyperdimensional time series data. 同時(shí)，以心電信號為例對ODP方法進(jìn)行測試，結果表明，該方法應用于超高維數據的特征提取是行之有效的。
- Piecewise Polynomial Representation (PPR) based similarity search approach for time series data in coal well gas monitoring was proposed. 摘要研究基于時(shí)間序列相似搜索技術(shù)的煤礦瓦斯涌出分析新途徑，提出基于PPR的煤礦瓦斯監測數據相似搜索方法。
- Using the analyzation of time series data, the relation of the pest population time series data and climate's factors was studied. 利用時(shí)間序列分析方法研究了松突圓蚧自然種群序列和氣候序列之間的關(guān)系。
- The dynamic study on the time series data from the TNT biodegradation process verified that the process conformed to one-rate dynamic equation. 結果表明，經(jīng)過(guò)五天時(shí)間的降解，廢水中所含的主要成分TNT接近完全降解，效果非常顯著(zhù)。
- Firstly, making the time series continuous through inserting data, and secondly removing the secular displacement rate from the time series data through linear fitness. 首先對時(shí)間序列中不連續的數據進(jìn)行內插處理，并通過(guò)線(xiàn)性擬合從時(shí)間序列中去掉長(cháng)期滑動(dòng)速率的影響。
- As the development of theory and method in econometrics and its more and more extensive application we should make use of both cross sectional data and time series data. 隨著(zhù)計量經(jīng)濟學(xué)理論方法的發(fā)展和應用領(lǐng)域的拓展,經(jīng)常需要同時(shí)采用截面數據和時(shí)間序列數據作為樣本。
- Piecewise linear representation algorithms of time series are usually based on a single heuristic rules，difficult to apply in different characteristics of time series data. 摘要 時(shí)間序列的分段線(xiàn)性表示算法通?；趩我坏膯l(fā)式規則，難以適用于不同數據特征的時(shí)間序列。
- YAN Xiangbin, LI Yijun, FAN Bo. Similar Problems in Time Series Data Mining. Proceedings 2003 International Conference on Management Science and Engineering.2003:382-385. 閆相斌;李一軍;崔廣斌.;事件預測的時(shí)間序列數據挖掘方法
- Economic History Services, directly downloadable or an author contact - collection includes Europe and ranges from time series data to various micro datasets such as US surveys of workers. 經(jīng)濟歷史服務(wù)可直接下載或與作者聯(lián)絡(luò ),收錄含歐洲在內的資料,范圍涵蓋時(shí)序資料與美國勞動(dòng)者調查等各類(lèi)原始個(gè)別資料。
- The article analyzed the weekly time series data of horizontal displacement at fiducial stations of China's continent by using the empirical orthogonal function (EOF) in Meteorology. 摘要利用大氣科學(xué)常用的經(jīng)驗正文函數(EOF)分解方法，對中國大陸連續觀(guān)測的基準站的水準位移每周解時(shí)間序列進(jìn)行分析。
- The result indicates that the time series data of annual typhoon loss in Taiwan is not generated from an ARMA(0,0) model and the past white noises have positive effect on current typhoon loss. 實(shí)證結果發(fā)現臺灣的每年臺風(fēng)損失此一時(shí)間序列資料非由ARMA(0,0)模型所產(chǎn)生，且模型參數估計結果指出過(guò)去幾期的白噪音對于當期臺風(fēng)損失金額會(huì )有正向的影響。
