樣本標準誤差 的英文怎麼說
中文拼音 [yàngběnbiāozhǔnwùchā]
樣本標準誤差
英文
sample standard error- 樣 : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
- 本 : i 名詞1 (草木的莖或根)stem or root of plants 2 (事物的根源)foundation; origin; basis 3 (本錢...
- 標 : Ⅰ名詞1 [書面語] (樹梢) treetop; the tip of a tree2 (枝節或表面) symptom; outside appearance; ...
- 準 : Ⅰ名詞1 (標準) standard; guideline; criterion; norm 2 (目標) aim; target Ⅱ動詞1 (依據; 依照)...
- 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...
- 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
- 標準 : (衡量事物的準則; 榜樣; 規范) standard; criterion; benchmark; pip; rule; ètalon (衡器); merits
- 誤差 : error
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Taking the evaluation criterion of lake nutrient states as sample pattern, the network was trained in the light of learning rule of error back propagation network
將湖泊營養狀態評價標準作為樣本模式提供給網路,按照誤差逆傳播網路的學習規則對網路進行訓練,經過39925次學習后,網路達到預先給定的收斂標準。First, the error transfer characteristic among subsystems at different space locations is analyzed, and the direct transfer characteristic from discrete standard measure space to the workpiece measure space under measured in measure system is proven. second, the error reconstruction condition and method of mapping from discrete standard measurement system to continuous standard measure space are analyzed. based on the measurement sample stationarity in limited distance, the prediction model ' s limited astringency and mensurability to the dynamic measuring error and the prediction error respectively are proven
分析了不同空間位置子系統間的誤差傳遞特性,證明了在測量系統中離散標準量值空間向被測量工件量值空間的直接傳遞性;分析了離散標準量系統向連續量值空間映射的誤差重構條件和方法;基於測量樣本的有限距離的平穩性,證明了預報模型對動態測量誤差的有限收斂性和預報誤差的可測度性,進而證明了以離散標準量值系統對被測工件預報修正的可行性和合理性。At the same time, we consider the reconstructed ermrs of a test sample in two spaccs : the between - class eigenmotion subspace and the within - class eigenmotion subspace, which are used as the classifier rule, in contrast to the traditional methods such as euclidean distance or mahalanobis distance in one subspace. experimental results show that this method outperforms the eigenface method in the presence of facial expression variations
在特徵運動的基礎上,我們還提出了同類特徵運動空間和異類特徵運動空間兩個子空間的概念,並且分析測試樣本在這兩個子空間的重建誤差,以此作為分類標準,而不是簡單地考慮在一個子空間里歐氏距離或者馬氏距離。
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