mean absolute error 中文意思是什麼

mean absolute error 解釋
平均絕對誤差
  • mean : vt 1 意，有…的意思，意思是…。2 意指，用…意思說；意味著，就是。3 （用語言、繪畫等）表示意思，表示...
  • absolute : adj 1 絕對的 （opp relative comparative）; 完全的，純粹的。2 無條件的，無限制的。3 專制的，獨裁的...
  • error : n. 1. 錯誤；失錯。2. 謬見，誤想；誤信；誤解。3. 罪過。4. 【數學】誤差；【法律】誤審，違法；（棒球中的）錯打。adj. -less 無錯誤的，正確的。
  1. The most important criteria that used to check the calibrated model are root mean square error ( rms ), the mean absolute error normalized rms error, and mass balance

    模型參數使用試錯法識別，識別過程中最重要的指標是均方差、平均絕對誤差、標準均方差和水均衡。
  2. During the course of the research, the criterions of the interpolation effect are mean error ( me ), mean absolute error ( mae ), root mean squared interpolation error ( rmse ) and the difference of mean square deviation between the measured and the estimated surface air temperature. the conclusions are as follows : ( 1 ) by contrasting the gaussian weighted model associated with the error modification with the gaussian weighted model, the error modification is proved to considerably ameliorate the precision of spatial interpolation ; ( 2 ) on the base of the gaussian weighted model, taking altitudinal effect into account can reflect the trend in which temperature changes according to the topographic altitude and may ameliorate the precision of spatial interpolation correspondingly and apparently, which indicates that topographical effect on the preciseness of spatial interpolation can not be disregarded in terms of the region with complicated topography ; ( 3 ) the map of daily surface air temperature distribution, using the modified gaussian weighted model a and b, can accurately reflect the temperature - changing - with - topographical - altitude trend. among them, the better is the model a, whose me is below 0. 03 ?

    在此過程中，採用平均誤差（ me ） ，平均絕對誤差（ mae ） ，插值平均誤差平方的平方根（ rootmeansquaredinterpolationerror ，簡稱rmsie ） ，插值前後測站要素值的均方差（ meansquaredeviation ，簡稱msd ）差值作為判定插值效果的標準，得出如下結論：通過高斯權重法與結合逐步訂正的高斯權重法的對比，說明結合逐步訂正方案的高斯權重法可大大提高地面日氣溫的插值精度；在高斯權重法中加入海拔影響項可以反映出溫度隨地形高度的變化趨勢，同時也能較大地提高地面日氣溫的空間插值精度，說明在地形復雜的區域，地形影響在插值精度中是不可忽略的；對于高斯權重法的兩種改進方案得到的地面日氣溫分布圖都能很好地反映出表面大氣氣溫隨地形高度的變化趨勢。
  3. Results show that the rbfnn is obviously superior to the traditional linear model, and its mae ( mean absolute error ) and rmse ( root mean square error ) are 41. 8 and 55. 7, respectively

    結果顯示，該模型預測效果明顯優于傳統的線性自回歸預測模型，各月平均的平均絕對誤差（ mae ）和均方誤差（ rmse ）達到41 . 8和55 . 7 。
  4. Temperature predicting ann model for the next 24 hours is established. by this method, mean absolute error ( mae ) is reduced to 0. 4512 ? from 0. 6663 ? that is calculated by improved ashrae calculation method

    建立了溫度24小時提前預測的人工神經網路模型，使得24小時提前逐時溫度預測平均絕對誤差從改進ashrae計算方法的0 . 6663降低到了0 . 4512 ，平均相對誤差從2 . 02降低到了1 . 36 。
  5. The above algorithm forms a double - two - stage iteration, as following : the results of monte carlo stimulation show that the double - two - stage iteration algorithm is more effective than empirical logistic regression after item and ability parameters recovery study. there are three advantages about the new method : first. the new method can be applied to estimate fewer items ; secondly, a test including fewer unusual response patterns can also be evaluated ; thirdly, the results compared with homogeneous software dealing with 2plm are accepted using mean absolute error as the criterion

    這種新方法有以下三個優點：項目數很少時參數估計的結果也較穩定；能處理測驗中含有少量特殊反應模式（見第二章）的參數估計；以估計值和真值之差的絕對值（平方）的平均值作為估計對真值的修復能力為指標，新方法的參數估計結果與同類流行軟體相比，修復能力不相上下；特別地，新的參數估計方法可以用於多級評分項目gpcm ，並為估計題組項目開辟了另一條道路。
  6. Experimental results show that this method is of low memory requirements and lower mean absolute error ( mae ) value, and provides better recommendation quality compared with traditional collaborative filtering algorithms

    實驗表明，這種方法的優點是低內存需求，具有較小的平均絕對偏差值，並且顯示出了比傳統推薦演算法更好的推薦質量。
  7. The calibration of flow model is acceptable with average rms of 0. 7m, residual mean of - 0. 045 m, average absolute mean error of 0. 1 m and normalized rms value of 2. 3 %. the contour map of the simulated heads, elaborated acceptable model calibration compared to observed heads map

    模型結果中，均方差為0 . 7m ，平均誤差為- 0 . 045m ，平均絕對誤差為0 . 1m ，標準均方差為2 . 3 ，模擬地下水流場與實際觀測地下水流場基本一致，說明所建立的數值模型符合該地區的實際水文地質條件。
  8. One is combined with the maximum average error criterion and the mean square error criterion, and the other is combined with the absolute value average error criterion and the mean square error criterion. theory analysis shows that the two new search methods have less computational complexity than that of the non - optimal method

    提出了兩種替換原有均方誤差最小準測的方法，分別是最大平均誤差與均方誤差最小準則相結合的搜索標準，以及絕對值平均誤差與均方誤差最小準則相結合的搜索標準。
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