最優線 的英文怎麼說
中文拼音 [zuìyōuxiàn]
最優線
英文
best fit line-
In this paper, the concept of acceleration ambiguity function ( aaf ) and acceleration resolution is put forward for the first time. using aaf, the effects of target ' s relative acceleration on several outputs of a linear - phase matched filter are analyzed, such as the output signal - noise - ratio loss, the doppler resolution, the constraint on optimal accumulative time ( opt ) and their tolerable limits
論文首次提出並研究了加速度模糊函數和加速度分辨力的有關概念，並以加速度模糊函數為分析工具，詳細討論了加速度對線性相位匹配濾波器的輸出信噪比的損失程度、對多卜勒頻率分辨能力的影響程度、對最優相參積累時間的約束關系以及線性相位匹配濾波器輸出受加速度影響的容限等問題。Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm
優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度The landing of a helicopter in autorotation is formulated as a nonlinear optimal control problem
本文將直升機的自轉著陸過程定義為一個非線性的最優控制問題。Optimality conditions of the nonlinear bilevel programming problem
一類非線性雙層規劃問題的最優性條件A bilevel linear programming problem with follower responding marginal function to leader
下層以最優值反應上層的兩層線性規劃The complex nonlinear pursuit - evasion model of two spacecraft in near - earth coplanar orbit is simplified to linear model, the circular region the radius of which is equal to capture radius is defined as target set, capture is achieved when the evader come into the target set and the game is over ; the boundary of useable part ( bup ) is determined, and the analytical form solution of the linear equations is obtained by backward integration of the state variables from the bup, the linear barrier of the pursuit - evasion model and the optimum thrust of the both sides are thus obtained
本文將近地共面軌道內運動的兩飛行器非線性追逃模型簡化為線性模型，以捕獲半徑的圓域定為目標集，確定目標集邊界上的可用部分，並以此為各狀態變量的起點，對時間進行倒向積分，求得線性方程組的解析解，從而確定了該追逃模型的線性界柵，以及界柵上對策雙方的最優推力，即求得了滿足最優策略時相對運動的軌跡和推力。We are looking for casuarina trees processing line that shall maximize the use of the cut trees to produce construction items and elements like ground cover, window, doors, furnature etc
我們尋找木麻黃樹加工生產線，用來加工生產地被植物、窗戶、門、傢具等，使建築木材的生產達到最優化。Umvique of the covariance matrix in growth curve model
增長曲線模型中協差陣的最優估計Optimal linear combination for segmentation of leukocyte images
白細胞圖像的最優線性組合分割方法In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples
針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。As a result, we are not only unable to obtain the optimal prediction in general cases but incapable of finding the necessary and sufficient conditions as well. considering linear and o - linear predictable variables, the author investigates optimal prediction problems by the trace of matrix. a few necessary conditions are derived and accordingly optimal linear and optimal o - linear unbiased predictors, which are unique with probabitity one, are obtained respectively by the author
對於一類線性可預測變量和-線性可預測變量，作者在矩陣跡意義下研究了一般增長曲線模型中最優預測問題，找到了其存在最優預測的幾個必要條件，並在給定的條件下分別得到了最優線性無偏預測和最優-線性無偏預測，而且還證明了它們在幾乎處處意義下的唯一性The principles of optimal linear fusion are put forward, i. e., ( 1 ) the infonnation magnitude of optimal fusion estimation equals the sum of all the information magnitude of supplied information, and ( 2 ) the product of optimal fusion estimation and its information magnitude equals the sum of all products of supplied information and their information magnitudes
提出信息最優線性融合原理，即信息最優線性融合滿足兩條加法原理： （ 1 ）最優融合估計的信息量等於全部被提供信息的信息量之和； （ 2 ）最優融合估計與其信息量的積等於全部被提供信息分別與其信息量的積之和。The wind rates of roots blower with these various kinds of three - lobe circular arc rotor are calculated and comparison between their performances is carried out. it is found that three - lobe rotor with external - internal circular arc and cycloid can produce the largest air volume. comparing the air pulsation produced by cylinder rotor and helix rotor, and proof that the structure of helix rotor can reduce the noise of roots blower
本文給出了羅茨鼓風機三種不同的圓弧轉子型線的參數方程（外圓弧及其包絡線型、內圓弧及其包絡線型、和內外圓弧加擺線型） ，還給出了這三種轉子的徑距比（ r _ a a ）的極值，並進行比較，得到：內外圓弧加擺線線型是最優線型這一結論；為降低羅茨風機的噪聲，將傳統的直葉轉子改成扭葉轉子。In particular, a simple iterative learning law based on infinite time optimal linear quadratic regulator is proposed and its convergence is analyzed in detail
進而，得到了基於最優線性二次型無限時間輸出調節器的迭代學習控制律，並分析了其收斂和魯棒收斂的充分條件。Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion
摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展，包括：最一般條件下全局最優的多傳感器分散式統計判決；傳感器觀測數據或局部估計的最優維數壓縮；一般條件下最優線性無偏估計融合公式及其有效演算法；傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合；容錯條件下的區間估計融合。Based on the principle of optimal linear fusion, and a conclusion is drawn that " the more measurements are used, the higher accuracy is obtained ". this result can play an important role in the accuracy design of multi - sensor system. the infonnation orthogonalization theorem and the information magnitude decomposition theorem are proposed and proved
根據信息最優線性融合原理，得出「利用的信息越多，最優融合估計的信息量越大、精度越高」的結論，該結論對多傳感器系統精度設計具有重要的指導意義。Apply this method to hand - written number recognition and the recognition right rate is improved notably than static olc. after discuss optimal linear combination method basing on recognition confidence, i research confidence theory farther and advance each - class confidence conception
討論過基於分類器判決可靠度估計的最優線性集成方法之後，本文對分類器置信度理論進行了進一步的研究，並提出各類別置信度的概念。This text realizes optimal linear combination method basing on recognition confidence. this method advances recognition confidence scaling recognition performance for each sample. in train phase divide train samples into different areas with their recognition confidence and apply olc in different areas to get multi - classifier combination power vector
此方法提出了用於衡量分類器對單個樣本識別性能的判決可靠度，在訓練階段根據各分類器的判決可靠度把訓練樣本分成不同的區域，從而可以在不同的區域里應用最優線性集成方法得出各區域的分類器組合權值。Use the traditional kalman filter algorithm and optimal linear fusion theory to export the centralized and the decentralized algorithm, then, analyze the strongpoint and the defect of various structures. 2
在經典kalman濾波估計理論的基礎上，利用最優線性融合理論，分別給出了集中式kalman濾波及各種分散式kalman濾波的演算法，並分析了各種演算法的優缺點。Finally, some illustrative examples are given in this paper as a proof that optimal linear unbiased predictor is a better predictor than others
最後，文章還給出了幾個實證研究的例子，證明了最優線性無偏預測是一種比較好的預測方法分享友人