engineering approximation 中文意思是什麼

engineering approximation 解釋
工程近似法
  • engineering : n. 1. 工程（技術），工程學。2. 開車技術。3. 土木工程，工事。4. 操縱，管理。
  • approximation : n. 1. 接近；近似。2. 【數學】近似值。3. 概算，略計。
  1. Numerical procedures of upper - bound approximation of shakedown loads and its application in engineering

    安定荷載上限近似解的數值分析方法及其應用
  2. This process is as follows : firstly, the data of different section contour and of section line have been obtained by reverse - engineering ; secondly, non - uniform b - spline approximation algorithm is used to fit the discrete data ; then the data have been optimized and reduced by adopting adaptive sampling of key points of the fitted curve based on vertical distance, sequently the adaptive sampling data is transformed into the format of the. ibl file of the famous 3 - d design software pro / e. therefore we reconstruct the surface and a model is generated ; lastly, the effectiveness of the adopted algorithm and modeling approach are demonstrated by the experiments

    建模型的過程中，首先運用逆向工程測量方法，獲得曲面物體上不同截面輪廓線的測量數據點列，接著對測量數據點進行平滑處理，用最小二乘法求解基於數據點列的控制多邊形，以非均勻三次b樣條曲線擬合截面輪廓曲線；然後利用基於垂距的數據采樣演算法，對擬合曲線上的數據點進行重新采樣，達到優化數據點的分佈及減少描述曲線數據量的目的。
  3. In the space, wavelet approximation formula and sampling formula are gived and these are simple and easy for calculation. it is a new attempt to establish mra in the reproducing kernel space. this not only makes up existing researchful defects but also gives a better method to resolve numerical approximation problems and it further enriches the reproducing kernel theory and wavelet method. this provides more applied method for resolving numerical approximation problems in the space which is often used in the engineering

    在再生核空間中建立的多尺度分析方法是利用再生核工具探討小波理論的又一次大膽的嘗試，它不但彌補了現有研究的缺憾，而且給出了解決數值逼近問題的一個新思路，進一步豐富了再生核理論，充實了小波方法，這為在工程中常用的空間中解決數值逼近問題又提供了一種較為實用的方法。
  4. The new algorithm starts from an initial estimate which is based on the hough transform, and a rectangular window is centered using the current line approximation, and a new line estimation is generated by making a total least squares fit through the pixels contained within the window. this is repeated until convergence is reached. lastly, we have suggested a new technique which may recover the motion and structure parameters of a moving object by using of 21 optical flow lines based on the optical flow fields of the feature line this thesis is the project supported by aeronautical foundation science ( no. 99f53065 ) and research center of measuring and testing technologies, and control engineering in nanchang institute of aeronautical technology ( no. 2001 - 15 )

    演算法的思路是：首先，在小區域內運用霍夫變換確定直線的初始值；其次，以直線的初始值所對應的直線為中心線，建立一個矩形框；最後，利用矩形框內所包含的邊緣點數據不斷地迭代直至收斂，從而達到進一步修正直線的坐標參數；本文基於特徵直線的光流場，即線流場，建立了一種利用21條光流線確定空間三維物體旋轉運動參數、平移運動參數以及對應的空間直線坐標的線性演算法。
  5. Sui yunkang and yang zhiguang, modified newton method and dual method through a rational approximation at two expanded points, engineering optimization, vol. 24 ( 1995 ) : 1 - 17

    隋允康，結構優化的曲線尋優理論及其逼近論和常微分方程組解法，中國學術期刊文摘， 1卷2期（ 1995 ）
  6. In the aerodynamic optimization design of turbomachine, the approximation model methods enable to balance the computational cost and accuracy, whose successful applications in centrifugal compressor impeller, diffuser, and mixed - flow pump impeller designs are introduced to show a wide engineering foreground

    基於統計學理論提出的近似模型方法有效地平衡了基於計算流體動力學分析的葉輪機械氣動優化設計中計算成本和計算精度這一對矛盾，在離心壓氣機葉片擴壓器、葉輪和混流泵葉輪設計等問題中得到了成功應用，展示了廣闊的工程應用前景。
  7. Kosko applied it to several engineering applications and summarized that the key of fuzzy engineering was function approximation in the book of fuzzy engineering

    在模糊工程一書中， kosko把這個模型應用到許多工程領域並概括出模糊工程的核心問題是函數逼近問題。
  8. To reduce huge computation of the traditional stochastic optimization methods for engineering optimization, approximation model methods with acceptable accuracy for engineering design are developed based on the statistical theory

    摘要針對在工程中完全採用隨機類優化方法尋優時計算量過大的問題，應用統計學的方法發展了計算量小、在一定程度上可以保證設計準確性的近似模型方法。
  9. Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface

    現代控制工程中的系統多表現為非線性、時變和不確定性，採用傳統的建模方法比較困難，或者根本無法實現，在這種情況下，要實現有效的控制，必須採用模型辨識的方法來獲取對象的近似模型，並加以控制，目前用於系統辨識的模型種類很多，模糊模型是其中的一種，它隨著模糊控制的發展而被人提出，模糊模型具有萬能逼近和強非線性的特點，比較適合於描述復雜非線性系統，為了解決模糊模型在輸入變量較多時規則數膨脹的問題，文中引入遞階型模糊模型，並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法，它具有隱含并行性和全局最優化的能力，並且對尋優對象的要求比較低，在工程應用和科學研究中，得到了廣泛的應用，本文將遺傳演算法引入模糊模型的辨識，取得了很好的效果。
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