autoregressive trend model 中文意思是什麼
autoregressive trend model
解釋
自回歸趨勢模型- autoregressive : 自回歸的
- trend : n （路、河、海岸、山脈等的）走向；方向，方位；傾向，趨勢，動向。 the trend of events 形勢。vi 走...
- model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
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Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application
作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。 -
For the general season time series, according to the model of season autoregressive integrated moving average, the concept of horizontal and lengthways trend are gave, and a new season time series model is brought forward. and then the process of modeling is simplified consumedly. to the estimate problem of a kind of time series, the model performance is good
對於一般的季節時間序列，我們基於季節自回歸求和均值模型，引入了橫向和縱向趨勢的概念，提出了一類新的季節時間序列模型，大大簡化了建模的過程，對一類時間序列的預測問題，模型性能表現良好。
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