least-squares method造句
例句與造句
- Meshless weighted least - square method
加權最小二乘無網(wǎng)格法 - Forecasting water yield of mine with the partial least - square method and neural network
偏最小二乘回歸神經(jīng)網(wǎng)絡的礦坑涌水量預測 - Least - square method
最小二乘法 - To date only discrete points are obtained , but not the surface of the scene . hence a least - square method is used to fit terrain surface
對整幅圖來說,完成點的重建后得到的僅僅是圖像上的一些離散點。 - When the data is not in normal or logarithmic normal distribution , the least - squared method is not applicable to obtaining the sensitive index
若試驗數(shù)據(jù)為非正態(tài)或非對數(shù)正態(tài)分布，最小二乘法求優(yōu)會受到限制。 - It's difficult to find least-squares method in a sentence. 用least-squares method造句挺難的
- Having obtained an initial position with a least - square method , a more precise result can be worked out from information contained in the bearing measurements
在利用最小二乘法獲得定位初值后，根據(jù)每次角度測量的信息進行目標位置估計。 - Comparison of the estimator from the least - squares method with the robust method shows that the estimator from the robust estimator is more reliable
通過比較，對于各測線上所有采樣點的系統(tǒng)誤差補償來說，系統(tǒng)誤差模型的抗差估計比最小二乘估計的可靠性更高。 - This paper elaborates on principles and calculation methods of experiment of prestress tube frictional resistance and also makes data procession of the experimental results by using least - square method
摘要詳細闡述了預應力束管道摩阻試驗的原理及計算方法，采用最小二乘法對試驗結果進行數(shù)據(jù)處理。 - In this paper , we used weighted neural network and least - square method for filling out the missed data , and compared the result obtained respectively with that of the neural network and the least - square method
運用神經(jīng)網(wǎng)絡和最小二乘法加權的方法對缺損數(shù)據(jù)進行填充，并分別與最小二乘法和神經(jīng)網(wǎng)絡的處理結果進行比較。 - Structure risk minimization based weighted partial least - squared method weighted partial least - squared wpls method was proposed to achieve structure risk minimization in the partial least - squares modeling process
為了在偏最小二乘法pls建模過程中實現(xiàn)結構風險最小化srm ，提出基于結構風險最小化的加權偏最小二乘法wpls 。 - Secondly , adaptive - network based fuzzy inference systems ( anfis ) turn membership functions in antecedent part and parameters in consequent par of inference rules by means of least - square methods and gradient descent methods
與普通的模糊神經(jīng)網(wǎng)絡相比，這種模糊神經(jīng)網(wǎng)絡收斂速度快，建模精度高。第三，混合模糊神經(jīng)網(wǎng)絡建模。 - Secondly , this paper proposes a neural network training scheme based on the linear least - square method through the characteristic analysis of multi - layered feed forward neural networks , and then applies that to identify a pmsm model
接著通過對多層前向神經(jīng)網(wǎng)絡特點的分析，給出了一種基于線性最小二乘法的神經(jīng)元網(wǎng)絡訓練方案，并把它應用于永磁同步電機模型的辨識中。 - Based on the conventional ahp ( analytic hierarchy process ) , integrated with complementary judgement matrix and optimization method , a method , called the weighted least - square method of complementary judgement matrix , is analyzed
摘要結合互補判斷矩陣與最優(yōu)化方法，在傳統(tǒng)的層次分析法的基礎上，對互補判斷矩陣權的最小平方法進行了分析，提出了一種基于互補判斷矩陣權的最小平方法的層次分析法。 - The dispersion model , with axial dispersion only was used to describe the liquid flow in the downcomer . the model parameters were fitted by the least - squares method . it was found that the curve of dispersion model fitted the experimental rtd curve well
本文利用一維軸向擴散模型對降液管中液體流動進行了數(shù)學描述，用時間域最小二乘法擬合了模型參數(shù)，模型方程所作曲線與rtd曲線吻合較好。 - Based on the six - port relative power theory that for a given load the relative power ratios of different ports are left unchanged with the input power to the six - port varied , characteristic parameters of detectors can be obtained through the least - square method
根據(jù)六端口相對功率理論即對某一負載各端口相對功率比值不隨輸入功率變化，由最小二乘法得到檢波器的特征參數(shù)，結合四標準法，確定六端口網(wǎng)絡的系統(tǒng)常數(shù)。
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