均方預測誤差 的英文怎麼說

中文拼音 [jūnfāngyùcèwùchā]
均方預測誤差 英文
mean square prediction error
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  • 誤差 : error
  1. Finally, a method is put forward to construct the nurbs curves on sphere, which extends the de boor recursive algorithm in r3 to one on the sphere by replacing the geodesic distances for the lines and studies their many geometric properties analogous to those in euclidean spaces, such as the differential property, the local property, the parameter invariance under a projective transformation, and so on

    兩種方法均給出誤差估計，使逼近螺線可達到任何預先給定的精確階。最後，給出球面nurbs曲線生成演算法：用球面上測地線? ?劣大圓弧代替直線段，將歐氏空間r ~ 3中的deboor遞推演算法推廣到球面上構造麯線。
  2. 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 。
  3. 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 。
  4. With process data of blast furnace no. 1 in tianjin iron plant, the parameters, ru and sita, of model have been optimized based on criteria of predictability, hit ratio, direction hit ratio and mean sum of square error according to each variable respectively

    以可預測率、預測命中率、趨勢預測命中率及平均誤差平方和為評價標準，確定了各影響因素的警戒參數ru和濾波參數sita的優化值范圍。
  5. The centres of the red, blue and grey circles are the forecast positions of the tropical cyclone at different times ( as shown at the upper left corner of the figure ). the radii of the circles are the respective average forecast errors

    紅色、藍色及灰色圈的中心表示該熱帶氣旋在不同時間的預測位置（時間顯示在圖左上方） ，半徑為相應預測位置的平均誤差。
  6. Abstract : the generalized shrunken prediction of finite population is introduced, using generalized shrunken least squares estimator of linear regression models. with respect to prediction mean squared error, a necessary and sufficient condition for superiority of a generalized shrunken prediction over the best linear unbiased prediction is obtained. in the case of linear combination of every unit index, a linear restricting prediction is introduced and then a necessary and sufficient condition for superiority of linear restricting prediction over the best linear unbiased prediction is devived

    文摘:利用線性回歸模型的廣義壓縮最小二乘估計，引入了有限總體的廣義壓縮型預測，在預測均方誤差意義下，得到了廣義壓縮型預測優于最佳線性無偏預測的一個充分必要條件；在只能得到每個個體指標的線性組合時，引入了一種線性約束型預測，並得到了線性約束型預測優于最佳線性無偏預測的一個充分必要條件
  7. These rules consist of the total fit, the mathematics and fatigue physics, and the safety in tail predictions. an analysis of the test s - n data of 16mn steel weld joints reveals that the four models are reasonable if only considering the total fit as the conventional method did. but if by the present three rules, the appropriate models should be the normal or the extreme maximum value

    根據先前提出的有限數據下良好假設分佈的確定方法，包括三個原則，即假設分佈形狀與誤差數據真實分佈形狀的一致性、預測的總體擬合效果、與疲勞失效機制的一致性和尾部預測的安全性，通過對線性均值s - n曲線擬合16mn鋼焊接頭s - n數據誤差的統計分析，說明應用一般推斷方法， 4種分佈都可合理地作為數據的統計模型，綜合考慮三原則后，極大值和正態分佈是可能的良好假設分佈。
  8. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  9. New dominant forecasting method and redundant measure are defined for combination forecasting method with generalized weight arithmetic average, based on error of power of p

    摘要從p次冪誤差的概念出發，提出了廣義加權算術平均組合預測法新的預測方法優超和冗餘度的定義。
  10. A llmmse filter is designed to reduce noise based on the noise model to improve snr of images. making use of the shape and lightness characters of feature points to detect the feature p oints from images. because the accuracy of feature imaging point ' s centroid has close relationship with measuring accuracy, an algorithm based on iteration of the center of the track window is used to improve the measurement accuracy

    圍繞著提高測量精度的要求，分析了影響ccd圖像質量的三類隨機噪聲，建立局部統計特性為高斯分佈的簡化圖像噪聲模型，利用線性最小均方誤差濾波器對圖像進行預處理，而後根據特徵點的亮度和形狀特徵對特徵像點進行檢測，進一步在特徵像點的匹配中採用自適應的質心迭代演算法提高跟蹤精度。
  11. The comparison showed that : ( l ) farassat 1a formula is the simplest one and work well for the subsonic rotor. ( 2 ) both kirchhoff formula and k - fwh formula can predict the nonlinear noise generated by transonic rotor ; ( 3 ) when the surface is not positioned in the linear region, kirchhoff approach for rotating integration surface could lead to substantial error, but k - fwh formula can still work well

    數值研究表明： farassat1a公式在預測線性噪聲方面簡單有效，適用於亞音速旋翼的噪聲預測； kirchhoff公式和k - fwh公式均能夠預測跨音速旋翼聲場，並且具有較高的精度；當聲源面位於流動非線性時， kirchhoff公式會導致很大的計算誤差，而k - fwh公式不存在這樣的問題。
  12. Meanwhile, the telephone gateway in tetra system is introduced. in further research, the principle of tetra speech coding algorithm ? algebraic codebook excitation linear prediction ( acelp ) is introduced and analysed in detail, which is a advanced codebook excitation linear prediction ( celp ). acelp algorithm replaces the excitation signals with algebraic codebook and uses some technique such as minimizing the mean square error ( mse ) and the analysis - synthesis method to obtain characteristic parameters of speech

    同時，介紹tetra系統的市話網關，並在接下來的研究中詳細介紹tetra電話網關中應用到的語音編解碼演算法? ?代數碼本激勵線性預測碼（ acelp ）的基本原理，它是一種簡化了的碼本激勵線性預測碼（ celp ） ，它把激勵信號用代數碼本代替，並且運用了均方誤差最小、分析?合成等技術提取出語音的特徵參數，極大地降低了比特率，而且具有較好的重建語音質量。
  13. By processing the observed data sequences of target position using the fuzzy imm approach based on current statistics model, the proposed method integrates multiple filtering and predicted values of target state from different trackers using the adaptive weighting fusion approach based on total least - squares error rule, which improves the precision and robustness of tracking system

    該方法在對各跟蹤器輸出的目標位置測量值序列採用基於「當前」統計模型的模糊交互多模方法進行處理的基礎上，採用基於總均方誤差最小規則的自適應加權融合方法對目標狀態的多個濾波與預測值進行綜合處理，較大程度上提高了系統的跟蹤精度與穩定性。
  14. As far as the general mixed - linear model is concerned, this paper explores the two - staged prediction of the linear combination about the fixed effects, and the random effects and meanwhile an approximate computation formula is derived for the mean square error of the two - staged prediction which paves the way for comparing and contrasting the advantages and disadvantages of different variance components

    摘要對一般的線性混合模型，研究其固定效應與隨機效應線性組合的兩步預測問題，給出了兩步預測均方誤差的一個近似計算公式，為比較不同方差分量估計的優劣性進一步奠定了基礎。
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