ground inversion 中文意思是什麼
ground inversion
解釋
地面逆溫-
Inversion of ground motion and identification of structural parameters by ekf
部分輸入未知條件下結構動力復合反演的分解演算法 -
Ground motion composite inversion based on a substructural analysis method is studied in this paper
本文研究一類基於子結構分析的地震動復合反演問題。 -
The main contents include polarimetric interferometric phase coherence optimization ( pipco ) ; random volume over ground ( rvog ) coherence scattering model and corresponding inversion model ; optimization of inversion procedure using ga
主要內容包括:極化干涉相干最優理論，相干散射模型和反演模型以及基於遺傳演算法的參數反演過程。 -
Firstly, the inversion of the ground motion with the unknown parameters and limited measurements was studied by the sub - structural identification, and the least - square algorithm of unknown input was built. secondly, based on the estimated input, structural parameter down to the element level was identified in time domain by extended kalman filter algorithm. several cases of a 6 - story frame s
首先，使用子結構識別技術，研究了未知參數、觀測不完整條件下的地震動輸入反演問題，建立了未知輸入的最小二乘估計演算法；其次，在估計地震動輸入的基礎上，使用廣義kalman濾波器方法，識別全部單元結構參數。 -
Taking erectophile type continuous vegetation as a example, authors had done many monte carlo simulations, and established empirical analytic expressions of radiances with component temperature, soil emissivity and leaf area index. empirical analytic expressions were used to construct objective function and genetic algorithm was employed to synchronously retrieve 5 parameters, such as component temperature, soil emissivity and lai, from thermal infrared 2 channels and 2 angles data. many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm ; genetic algorithm can cope with uncertainty inversion problem pretty well if full advantage of priori knowledge was taken. comparison between inversion results and ground - truth data has been done. this paper offers a new example to retrieve component temperature from multi - channel, multi - angle thermal infrared data based on the model of directionality of thermal radiance
在熱輻射方向性規律的基礎上，以喜直型連續植被為例，進行了大量的monte carlo模擬，建立了輻射亮度和組分溫度植被葉面積指數及土壤比輻射率之間的經驗函數關系。採用遺傳演算法，從熱紅外2個波段2個角度數據中，同時反演混合像元組分溫度土壤比輻射率和葉面積指數等5個參數。通過對模擬的觀測數據進行大量的遺傳演算法反演試驗，結果表明，遺傳演算法反演組分溫度非常穩健，在寬松的先驗知識條件下，遺傳演算法可以解決不確定性反演問題。 -
The method consists of two stages : sub - structural inversion of ground motion using least - square estimation, and parameter identification using extended kalman filter
本文所建立的方法分為兩個階段：地震動子結構反演和單元結構參數識別。 -
( 4 ) the paper has studied the structure and training algorithm of self - recursion neural network. it also studies the convergence and stability of self - recursion neural network " training algorithm by using lyapunov method. then the paper use inversion method to simulate the vibration field of ground vibration caused by track traffic by self - recursion neural network for the first time
（ 4 ）研究了自遞歸神經網路的結構及訓練演算法，利用lyapunov方法研究了自遞歸神經網路訓練演算法的收斂性和穩定性，並首次利用自遞歸神經網路來反演軌道交通引起地面振動的振動場。
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