時間數列分析 的英文怎麼說
中文拼音 [shíjiānshǔlièfēnxī]
時間數列分析
英文
time-series analysis- 時 : shí]Ⅰ名1 (比較長的一段時間)time; times; days:當時at that time; in those days; 古時 ancient tim...
- 間 : 間Ⅰ名詞1 (中間) between; among 2 (一定的空間或時間里) with a definite time or space 3 (一間...
- 數 : 數副詞(屢次) frequently; repeatedly
- 列 : Ⅰ動1 (排列) arrange; form a line; line up 2 (安排到某類事物之中) list; enter in a list Ⅱ名詞1...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 析 : Ⅰ動詞1. (分開; 散開) divide; separate 2. (分析) analyse; dissect; resolve Ⅱ名詞(姓氏) a surname
- 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
- 數列 : progression; series; a series of numbers arranged according to a certain rule
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According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain
根據《隨機水文學》理論中的時間序列分析法,建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型;通過分析降雨隨機特性,選定季節性時序隨機模型,建立了適合三江平原井灌水稻降雨預報的月平均降雨模型;根據最小二乘法,計算出幾種常用水分生產函數中的敏感指數及敏感系數,進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律;本文提出遺傳動態規劃法( raga ? dp ) ,即採用改進的基於實數編碼的加速遺傳演算法( realcodingbasedacceleratinggeneticalgorithm ,簡稱raga )與動態規劃法( dpsa )相結合,推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。In summer, load is affectd by meteorological elements greatly. based on multidimension time series approach, the car model is constructed, which could take account into the accumalated influence from temperature and inertia action from historic load, meanwhile, the advantage of the model is that its expreaasion is in the form of apparent function, which could provide us some quaqutive imformation existed between input variable and output variable
本文以多維時間序列分析方法為基礎,成功地解決了未來日負荷與前些日負荷慣性變化的影響,以及氣象累計效應的影響顯性函數關系問題,從而為負荷預測人員掌握未來負荷與歷史負荷,歷史氣象要素與當日氣象條件之間的規律,提供了量化的分析基礎。For the dynamic process of ship rolling movement, this paper analyses its dynamic date with time series analysis method and brings up this system ' s the most excellent autoregressive model ( ar model ) according to least aic criterion ( akaile, information criterion ). it reveals the regular pattern of ship rolling movement and forecasts the future value of roll angle and pitch angle, then transforms it to adjusting value of object and adjusting it according to appropriate control rules
對于船舶搖蕩運動這一動態過程,採用時間序列分析的方法,建立系統的自回歸模型( ar模型) ,並根據最小aic信息量判定準則保證建立的系統模型為最優化模型。利用參數模型的方式對船舶橫搖、縱搖運動的動態數據進行分析處理,揭示船舶搖蕩運動的規律,預測船舶橫搖角、縱搖角的未來值。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
在此基礎上,本文以時間序列分析作為基礎研究手段,以德國海運費率指數公布的1980年1月至1999年12月的四類油運費率指數為研究對象,分析了四類油運費率指數的長期變化趨勢、季節變化規律、長期周期循環變化規律和不規則變化規律,並應用arima時間序列模型對160000dwt以上的原油運費率指數進行了短期預測,取得了較好的預測效果。Research and teaching : econometric theory, non - parametric econometrics, nonlinear time series analysis, and financial econometrics
主要研究和教學領域:計量經濟學理論,非參數計量經濟學,非線性時間系列分析,金融計量經濟學。A real physical system may involve many variables but only one or more of them can be detected by modem data collecting equipment in recent years, the technique of phase space reconstruction is frequently applied to analyse and process time series. its significance is that the topological characteristics such as fractal dimension can be obtained, on the basis of investigation and research about the technique of phase space reconstruction up - to - now, this paper is also devoted to develop a new method for the prombles of detecting deterministic chaos of time series obtained from experimental data
一個實際的系統可能會涉及多個相變量,但在實際問題中只能得到部分相變量的信息,近年來人們發展了相空間重構方法,能夠通過單變量信息重構吸引子,這種方法在時間序列分析和處理中得到廣泛應用,其意義在於能在拓撲等價意義下恢復吸引子的拓撲特徵,本文第三章在國內外有關時間序列的相空間重構研究狀況基礎上,致力於發展對時間序列進行確定性檢驗的新方法,即研究時間序列的分佈規律和赫斯特指數,並在相空間重構的基礎上,提取吸引子的特徵指數。Based on sample of the index from april 3, 1991 to may 31, 2001, arima models have been built with tsp computer software guided by route of " from general to specific ". the models built have better fit goodness and one point forward prediction is highly precise. but ultra - sample prediction by c + + program shows prediction precision reduces fast as the length of prediction grows, long term prediction of the index is impossible
建模表明利用tsp統計軟體結合從「一般到特殊」的建模方法,所建的模型對已有數據的擬合較好,向前一步單點預測準確性較高,但利用c語言程序進行進一步分析表明時間序列分析模型對深圳成分指數的長期預測效果明顯降低。Professor sir clive granger is a pioneer in the field of time series analysis and econometrics. he received the 2003 nobel prize in economics for his contributions to methods of analyzing long run relationships in economic time series, a discovery which was a major breakthrough. his models have become indispensable tools for macro - economic forecasts, evaluation of risks and analysis of the financial markets
格蘭傑教授是計量經濟學及時間序列分析的大師,他以研究經濟數據之間的長遠關系即:協整cointegration模型獲2003年諾貝爾經濟獎,為經濟學上一重大突破,他發明的分析模型被廣泛應用於宏觀經濟預測分析風險評估及金融市場的分析。For the practice of the water supply system of three gorges project construction, this study set up a microcosmic hydraulic model. at the same time, it set up the forecast model by the analysis of time series in water consumption both by day and by hour. and finally, the study states an optimal decision mathematics model, which aims at making the least power consumption during the water supply
針對三峽工程施工供水系統的實際,本文建立了供水系統的微觀水力分析模型;同時,採用時間序列分析方法建立了日用水量和時用水量預測模型;最後,建立了以總耗電量為最優目標的優化決策數學模型,並採用動態規劃方法進行模型的尋優計算。Motion capture data can be thought as time series, signals, patterns, and curves in form, so time series analysis, signal processing, pattern recognition and curve editing techniques can play a great role on motion capture data
在形式上,運動數據可以被看作時間序列、信號、模式、曲線等,所以時間序列分析、信號處理、模式識別、曲線編輯等技術都可以在運動數據上大顯身手。Based on a large amount of experimental data, nonlinear analysis, such as complexity theory, and approximate entropy ( apen ) which is adopted systematically in the fluidization research the first time, are implemented in the time series analysis of pressure fluctuation and particle concentration in gas - solid fluidized beds, and the nonlinear characteristics of fluidized beds are discussed comprehensively
本文在大量實驗數據基礎上,將非線性方法,包括復雜性理論,以及首次被系統引入流態化研究的近似熵,應用到氣固流化床壓力及顆粒濃度脈動時間序列分析中,較為系統地探討了流化床的非線性特徵。During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time - series analysis and prediction
課程期間我們將檢視數種學習技巧在一些領域上的應用如電腦視覺、電腦繪圖、數據庫搜索和時間數列分析與預測。Based on online parameter estimation of the arma. innovation models, using the modern time series analysis method, the several self - tuning kalman tracking filters are presented, where the three different algorithms of the kalman tracking filter gains are used
基於arma新息模型參數的在線估計,應用現代時間序列分析的方法,提出了若干自校正kalman跟蹤濾波器,其中,應用了求kalman跟蹤濾波器穩態增益的三種不同演算法。And in allusion to the shortcomings on the fitting of noises by least square, a new procedure is presented to modify the estimations of model parameter of the noise. it can control the effects of the correlation noise of except for first order self - correlation noise. using the model the error of gps / ins integrated navigation system is estimated
再次,針對卡爾曼濾波方程的前提條件不滿足而影響導航系統的精度的問題,應用時間序列分析理論提出了一種改進的噪聲模型參數估計演算法,對此演算法進行建模,模擬結果表明,該演算法能有效的控制一階自相關特性以外的噪聲對參數模型估計的影響,提高卡爾曼濾波精度。Furthermore, it also demonstrates that stock price and time frame do not appear to have linear relation
並使用時間數列分析來看減資首次宣告、私募首次宣告及減資暨私募首次宣告,對股價波動的影響。In addition the h. kantz method is applied to analyze the time series of the motor current, the maximal lyapunov exponent calculation is realized, the criterion for the motor chaos is brought forward, the existence of chaotic phenomenon in the induction motor is verified by the characteristic exponents, which proves theoretically that the chaotic movement is one of the reasons that results in the low frequency oscillation of the induction motor system
應用h . kantz方法對電機電流信號的時間序列分析,實現了最大李亞普諾夫指數的具體演算法,提出了電機出現混沌運動的判定根據,通過特徵指數驗證了異步電動機現象的存在,從理論上說明混沌運動是異步電動機系統產生低頻振蕩的原因之一。第三部分深入研究了系統低頻振蕩的主要影響因素。The analysis of time - series is important for economics statistics and forecasting. up till now, most documents adopt arima model to carry on modeling and predict to time - series analysis extensively. but arima model needs more than 50 historical statistics in model discerning, and it is difficult to collect data by quarter, month or year
時間序列分析在經濟統計與預測中佔有重要地位,到目前為止,大多數文獻廣泛採用arima模型法對時間序列分析進行建模與預測,可是arima模型法在模型識別時需要50個以上歷史統計數據,這對按月、按季或按年記錄的經濟資料往往較難收集。In addition, time series method is also applied in this paper for analyzing and predicting the time - dependent behavior
另外,引入時間序列分析(一種數據處理方法) ,對基坑的時間效應進行了分析預測。4. taking example for dimension accuracy, and applying modem mathematical methods such as time series analysis, grey system theory and artificial neural network theory, the mathematical models of dynamic loss of manufacturing accuracy are established. the comparison of the accuracy of each model is made by illustrations
以尺寸精度為例,分別應用時間序列分析、灰色系統理論及人工神經網路原理等現代數學手段建立了加工精度動態損失的數學模型,通過實例進行了各種模型精度的比較。The author summarizes the current situation of the large scale data topographic map surveying ; analyzes the technology used in the large scale data - mapping system ; introduces system error correction ways based on time series analysis and analyzes the basic method of getting topographic information directly from the aerial photogrammetric surveying
摘要概述了目前大比例尺數字化地形圖測繪的現狀;分析了實現大比例尺數字化航測成圖系統的相關技術;引入了基於時間序列分析的系統誤差修正方法,分析了直接從航測影像獲取地形信息的基本方法。分享友人