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- The auto correlation coefficients figure is suggested to ascertain auto regressive items of bilinear time series model (BM).A scheme based on genetic algorithms is adopted to deduce the BM. 摘要文章提出了實(shí)用自相關(guān)系數圖確定雙線(xiàn)性模型的自回歸項，應用了基于遺傳算法的一套建模方法。
- The Moment Estimation of One Class of Bilinear Time Series Model 一類(lèi)雙線(xiàn)性時(shí)間序列模型的矩估計
- A Genetic Bilinear Time Series Model for Predicting the Daily Flow Process 預測日徑流過(guò)程的雙線(xiàn)性模型
- Stationarity and Invertibility of Bilinear Time Series Model BL (n, m, p, l) 雙線(xiàn)性時(shí)間序列BL(n,m,p,l)模型的平穩性和可逆性
- The Asymptotic Behaviour of Higher-Order Moments for Bilinear Time Series Models 雙線(xiàn)性時(shí)間序列模型高階矩的漸近性質(zhì)
- bilinear time series model 雙線(xiàn)性模型
- This is called a deseasonalizing time series. 這叫調和時(shí)間數列。
- Time Series Analysis Hamilton J.D. 時(shí)間序列分析。
- Predicts the future values for a time series. 預測一個(gè)時(shí)序的未來(lái)值。
- Results A new mode of time series is established. 結果建立了一個(gè)新的時(shí)間序列模型。
- Tab to display the tree view of the time series model. 選項卡可以顯示時(shí)序模型的樹(shù)視圖。
- 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。
- Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series. 摘要基于混沌動(dòng)力系統相空間的延遲坐標重構和雙線(xiàn)性表達式，設計了預測混沌時(shí)間序列的雙線(xiàn)性自適應預測濾波器。
- 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。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究離散時(shí)間序列上的代數模型。
- The method can be used for time series pretreatment and the AR analyzing. 變換方法可用于有限長(cháng)度時(shí)間序列的預處理。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生長(cháng)的起伏型時(shí)間序列模擬研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用兩種方式定義Microsoft時(shí)序模型的輸入數據。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具體用到的分析工具有SWOT分析、時(shí)間序列分析方法等等。
- 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。
