中英
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regression prediction equation中文是什么意思
- 中文翻譯
- 造句
- 回歸預報方程
- regression prediction 回歸預測
- equation of regression 回歸方程
- regression equation 回歸程; 回歸方程式
- prediction equation 推算公式
- equation of linear regression 線性回歸方程
- equation of regression line 回歸方程
- fitted multiple regression equation 擬合多重回歸方程
- linear regression equation 直線回歸方程式
- multiple regression equation 多元回歸方程; 多重國歸方程式; 多重回歸方程
- partial regression equation 偏回歸方程
- precision of regression equation 回歸方程精度
- quadratic regression equation 二次回歸方程
- stability of regression equation 回歸方程穩(wěn)定性
- soil erosion prediction equation 土壤侵蝕預報方程
- wave equation prediction 波方程預告
- wind erosion prediction equation 風蝕預報方程
- regression n. 1.復歸，回歸。 2.退步，退化。 3.【天文學】退行。 adj. -sive ,-sively adv.
- prediction n. 1.預言，預告。 2.被預言的事物。 3.【氣象學】預測，預報。 weather prediction 天氣預報。
- by equation 按方程式
- equation n. 1.平衡，均衡；平均，相等。 2.【數(shù)學】方程式，等式。 3.【天文學】(時)差；均分，等分。 4.【化學】反應式。 algebraic [linear, simple, quadratic, cubic, simultaneous] equation 代數(shù)(一次，一元一次，二次，三次，聯(lián)立)方程式。 differential equation 微分方程。 an identical equation 恒等式。 equation of light 【天文學】光行時差。 equation of payments 平均分期付款。 equation of state 【物理學】物態(tài)方程式。 equation of time 【天文學】時差。 personal equation 【天文學】觀測上的個人誤差。
- equation of 次方程
- adaptive regression 適應退化; 適應消退
- age regression 返童記憶; 返童現(xiàn)象
- analysis of regression 回歸分析
- antitonic regression 反序回歸
- The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability
(3)運用線性回歸預報方程和三種人工神經(jīng)網(wǎng)絡模型對福建汛期旱澇進行預測的實驗表明：bp、徑向基(rbf)和elman這三種人工神經(jīng)網(wǎng)絡模型在歷史樣本擬合精度上、獨立樣本檢驗結(jié)果和網(wǎng)絡模型的實際預測能力上都明顯優(yōu)于傳統(tǒng)的線性回歸方法。 - The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability
(3)運用線性回歸預報方程和三種人工神經(jīng)網(wǎng)絡模型對福建汛期旱澇進行預測的實驗表明：bp、徑向基(rbf)和elman這三種人工神經(jīng)網(wǎng)絡模型在歷史樣本擬合精度上、獨立樣本檢驗結(jié)果和網(wǎng)絡模型的實際預測能力上都明顯優(yōu)于傳統(tǒng)的線性回歸方法。
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