recursive model 中文意思是什麼
recursive model
解釋
遞歸模型-
Based on a systematic discussion on the contents, characteristics and the up - to - now accomplishments of these three operations in cagd, we present our researches in three ways as follows : ( 1 ) efficient evaluation for parametric curves and surfaces based on generalized ball bases based on the generalization of mathematical model of surface lofting program in the consurf system, two generalized ball surfaces and the recursive algorithms for evaluating them are given. furthermore, the conversion algorithms from bezier form of a surface to these two generalized ball forms are presented
在系統地論述cagd中此三類運算的內容、特點、已有研究成果的基礎上，就以下三方面給出了研究成果： （ 1 ）基於廣義ball基的參數曲線曲面快速求值以前英國航空公司consurf系統機身模線程序數學模型的推廣為基礎，定義了兩類廣義ball基曲面，給出了求值的遞推演算法，推導了b zier曲面到這兩類曲面的轉換演算法 -
Because of the spectral line splitting of the burg algorithm, the recursive algorithm of the ar model, we choice the hamming weighted burg algorithm in this paper. the modified burg algorithm can weaken the spectral line splitting effectively. however, the ar model can ’ t gain the phase of the inter - harmonics
由於ar模型的遞推演算法burg演算法存在譜線分裂現象，文中選擇使用hamming窗加權的burg演算法來遞推ar模型，修正後的burg演算法明顯減輕了譜線分裂現象，具有較好的抗噪聲能力，但無法得到間諧波的相位信息。 -
Flood forecasting model based on improved recursive least square method
基於遞推最小二乘改進演算法的洪水預報模型研究 -
Nonlinear recursive minimum model error estimation
非線性遞推最小模型誤差估計 -
Dynamic weighing system is as a second - order system and set it up model, then has its transform function laplace transform and z transform, at last has a formula that m is only relation to the system parameters. this article has system identified with the recursive least square ( rls ) method, and has the system parameters, while the auto - regressive - moving - average ( arma ) model for the second order weighing system is firstly derived. and has a equation which the mass is only correlation to the system parameters
論文具體分析了定量稱量問題，首先是把稱量系統看作是一個二階系統，建立數學模后，進行拉普拉斯變換和z變換后得出一個質量僅與系統參數有關的關系式，從而把稱量問題轉化為一個系統參數識別問題來解決。通過編寫的程序來採集系統信號並進行處理（運用漸消遞推最小二乘法）對系統參數進行識別，從而得出稱量結果。 -
For large errors introduced by nonlinear state - space model in passive locating and tracking problems, various suboptimal recursive filtering algorithms are aralyzed and summarized, such as the extended kalman filtering ( ekf ), the modified gain extended kalman filtering ( mgekf ), the second order filtering and the adaptive extended kalman filtering ( aekf )
摘要針對被動定位跟蹤中狀態空間模型非線性程度較高所引發的濾波精度偏低的問題，分析和總結了已有的包括推廣卡爾曼濾波（ ekf ） 、修正增益的推廣卡曼濾波（ mgekf ） 、二階濾波、自適應推廣卡爾受濾波（ aekf ）等各種次優遞推濾波演算法的特點。 -
Recursive economic model
遞回經濟模式 -
In ship steering controller design, the nonlinear ship model should be written in siso strict feedback form. we start the recursive design with the system first state variable and continue with the second one. by introducing a change of coordinates, we choose lyapunov functions to stabilize the system and obtain the control law
在船舶航向控制方面，考慮船舶的穩態回轉非線性，應用backstepping方法設計：首先把系統化成單入單出的嚴格反饋控制形式（呈下三角結構） ，假設系統后一個狀態變量是前一個狀態變量的虛擬控制，通過適當的變量代換，在每一步構造李亞普諾夫函數，使前一子系統在虛擬控制下漸近穩定，逐步遞推出控制器控制規律，使整個系統在平衡點滿足一致漸近穩定性。 -
To identify the model parameters of controlled esvrst system on line, the recursive extended least square with variety forgetting factor is used, which makes the control system possess anti - disturb ability obviously and unchangeable precision of stochastic waveform reappearance
本文提出了用變遺忘因子的增廣最小二乘遞推演算法在線識別電液伺服汽車道路模擬試驗臺被控系統的模型參數，使控制系統在實現波形再現時具有顯著的抗干擾能力和穩定的波形再現精度。 -
Some recursive formulas of a discrete time risk model
一類離散時間風險模型破產概率上界的估計 -
To apply neural networks to the simulation of ship maneuvering motion, an nnrm ( neural network recursive model ) is designed and used to simulate a serial full - scale tests conducted in yangtze river and the comparison between simulated results and the measured ones is satisfactory. ship trajectory tracking is a well - known maneuvering problem with an increasing practical and theoretical interest. but the real - world tracking applications encounter a number of difficulties caused by the presence of different kinds of uncertainty due to the unknown or not precisely known system model and environmental effects
本文利用智能控制技術的優越性，嘗試將智能化控制技術用於船舶操縱運動模擬，初步探索了將現代控制理論和智能技術融入船舶操縱預報、模擬的研究方法，提出了用於船舶操縱運動模擬的線性神經網路（ lnn ） 、神經網路遞推模型（ nnrm ）和nnrm 、交錯航跡距離（ cte ）和視距（ los ）混合控制器模型三種控制模型：並將控制模型的理論研究應用到實船試驗數據分析、計算，將模擬結果與實際的試驗結果作了比較。 -
A kind of arithmetic of recursive least squares ( rls ) method with forgetting factor combined with model matching of zero frequency was adopted to identify the object online
採用了帶遺忘因子的遞推最小二乘和基於零頻率的模型匹配的聯合辨識演算法對空調系統進行在線辨識。 -
After introducing the unified model structure and applying stochastic approximation principle, the general recursive identification algorithm of several on - line identification methods is developped
在引進統一的模型結構以後，利用隨機逼近原理，提出了各種在線識別演算法的一般遞推形式。 -
Selecting the image elements of earth and moon centers as observed quantity, measurement noise model and observed equations of autonomous navigation system are built up. the spacecraft orbit is determined by using the recursive weighted least square based on ud factorization
在奔選取地心和月心像素作為觀測量，建立了符合實際情況的量測噪聲模型和自主導航系統的觀測方程，並利用基於ud分解的遞推加權最小二乘演算法估計了奔月探測器的軌道參數。 -
In chapter four, compared the forecast of mawan electric power plant with that of shiheng electric power plant, the validity of the forecast model established in the thesis is checked up and the efficient practical result of applying inverse exponent nonlinear recursive forecast model is confirmed. in addition, compared with other common forecast models in chapter five, the distinct practicability and superiority of using ienr forecast model was further illustrated in forecasting energy saving target in electric power plants
本文的第四章通過媽灣發電廠和石橫發電廠供電煤耗數據進行處理和歸納，對本文所建立的預測模型進行檢驗，在第五章與其他常用的預測模型進行比較，更進一步說明本文的模型在對電廠節能目標的預測上具有明顯的優勢和實用性。 -
This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented
Viterbi演算法以隱馬爾可夫理論為基礎，是一種最大后驗概率估計方法，本文對該演算法進行了研究，給出了一種適合於非高斯干擾條件下的濾波方法；多分辨分析方法充分利用到了多解析度測量數據所包含的信息，從模擬結果中可以看出，該方法的濾波精度要高於傳統的濾波演算法；自主濾波方法是一種遞推貝葉斯估計演算法，它利用采樣點來描述目標狀態的概率密度函數，因而適用於非線性、非高斯條件下的濾波，本文分別對這兩種情況下的濾波進行了模擬。 -
In this thesis, our research work mainly focuses on the following four aspects : 1, studying and perfecting the generation algorithms of plant modeling, building three - dimensional plant model on the basis of studying current algorithms of plant modeling, combining iterated function system and l - system, we brought forward the random binary three - dimensional recursive model
本文的主要工作內容集中在以下四方面： 1 、研究並改進植物建模演算法，生成三維的植物模型在研究目前植物建模常用演算法的基礎上，結合迭代函數系統法（ ifs ）和l系統法提出了樹木類植物的隨機二叉三維遞歸模型。 -
In this thesis, a parametric identification method for non - linear hysteretic systems is presented based on recursive model reference ( rmr ) adaptive algorithm
本文採用了一種基於模型參考自適應演算法的結構參數辨識方法來識別線性和非線性結構的系統參數。 -
Non - linear structural identification using a recursive model reference adaptive algorithm
基於模型參考自適應演算法的非線性結構損傷識別 -
The system realize the random binary three - dimensional recursive model, and generate three - dimensional tree model to compose natural scene ; in addition, it apply the accelerate algorithms based on the integrated polygon and texture, and realize interactive walkthrough in virtual environment
該系統用c + +語言實現了隨機二叉三維遞歸模型，生成三維樹木造型組成自然景物，並應用基於幾何和圖像的混合漫遊加速演算法，實現了虛擬環境的交互漫遊。
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