regression analysis output 中文意思是什麼

regression analysis output 解釋
回歸分析輸出
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • analysis : n. （pl. -ses ）1. 分解，分析；【數學】解析。2. 梗概，要略。3. 〈美國〉用精神分析法治療（＝ psychoanalysis）。
  • output : n. 1. 產量；生產，出產，產品。2. 【醫學】（糞便以外的）排泄物；排泄量。3. 【電學】發電力，輸出功率；供給量。4. 輸出信號。
  1. Tea crop area, harvesting area, per unit area yield, gross output, and the total agricultural output value of the tea industry are analyzed and assessed by using regression model analysis

    運用回歸模型對茶葉種植面積、採收面積、單位面積產量、總產量、茶葉農業總產值進行分析和預測。
  2. Chapter three selects some economical index which represents the situation of china communications and transportation ' s development, for example, turnover of freight traffic, turnover of freight traffic and output of communications and transportation, uses statistical graphs, charts or tables, multiple regression, exploratory analysis method etc., and finds out the factors influencing china communications and transportation ' s development, based on the characteristics of china communications and transportation

    第三章根據交通運輸業特點，選擇代表交通運輸業發展狀況的經濟指標貨物周轉量、客運周轉量以及交通運輸業的產值等指標，分別運用統計圖表、多元回歸、探索性分析等方法，以期找出我國交通運輸業發展的影響因素和發展趨勢。
  3. In this paper, we first analyze each factor of influencing threshing performance, and deficiency of all traditional methods such as single factor, orthogonal experiment, variance analysis and regression analysis, which have been used to study the threshing performance. in the basis of above analysis, we propose a new method of threshing performance modeling - a bp neural network. by use the new ways of threshing performance modeling - a bp neural network, we can obtain the optimum model of threshing performance, which can better describe the seed - husking plant ' s feature of complex nonlinear, multi - input - output and indefinite

    本文首先分析了影響脫粒裝置性能的各個因素以及傳統研究脫粒性能的各種方法如單因素法、正交試驗法、方差分析法以及回歸分析法的缺陷，在此基礎上提出了採用bp神經網路對脫粒裝置性能模型進行優化，採用這種方法優化脫粒裝置性能模型可以更好地刻劃脫粒裝置所具有的多輸入多輸出、復雜非線性以及不確定性等特徵。
  4. The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together.

    論文首先藉助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報藉助基於自組織法求解的的volterra級數來完成，然後將兩者結果疊加起來。
  5. And grindintg experiment based on uniform design is conducted. depending on data process system, the regression model of production efficiency, output per degree and particle are established. through single factor analysis on all experimental indexes, the law that the bottom corner, height, bottom length of trapezium and spacing influence the hammer mill capbility are achieved

    並採用均勻設計方法安排異型粉碎室粉碎試驗。利用數據處理系統，建立生產率、度電產量、粒度的回歸方程。對各試驗指標進行了單因素分析，研究梯形篩片的底角、高度、間距和下底長對粉碎性能的影響規律。
  6. Multiple linear regression method is applied to analysis systematic error, which leads to a satisfying model and an approach to improve the output precision

    通過對實驗結果誤差數據的採集、系統誤差判別以及多元線性回歸分析，揭示了誤差的影響因素，得到了一些有益的結論。
  7. The regression models of principle component analysis on in - output variables in agriculture

    農業投入產出變量的主成分回歸分析模型
  8. In this paper, we make use of method of data envelopment analysis ( dea ) to observe the capital market output efficiency in china, then estimate the production function using two stages dea - regression method, and this function responds to the definition of economics

    摘要本文運用數據包絡分析對我國資本市場的產出效率進行了考察，運用兩階段的dea -回歸方法建立符合經濟學定義的我國資本市場生產函數。
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