法速向量 的英文怎麼說

中文拼音 [fǎsùxiàngliáng]
法速向量 英文
normal velocity vector
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  1. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  2. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  3. Experiments show that the new mdv is stabile and distinct, the algorithm with high recognition rate is very quick, and almost real time

    實驗表明，這種新特徵向量具有較好的穩定性和區分性，演算法識別率高、速度快，幾乎達到實時效果。
  4. The compare is made between the one - versus - one, one - versus - rest and directed acyclic graph algorithm of presented support vector machine multi - class classification algorithms. the simulations show the advantage of directed acyclic graph algorithm over the others the identification rate

    分析比較了現有支持向量機多值分類演算法中的一對一、一對多和有向無環圖演算法，分析表明有向無環圖相對于其它兩種演算法，不僅速度快，而且識別率也較高。
  5. Fourthly, a fast back projection ( fbp ) algorithm is presented. it sloves the problem of large computational load of bp algorithm and the condition of dividing the subapterture is presented

    接著提出了一種快速後向投影演算法（ fbp ） ，解決了bp演算法計算量大的問題，給出了子孔徑劃分的條件。
  6. The main part of this hybrid algorithm is a chebyshev iteration which applies chebyshev polynomials to act on initial vectors and makes the obtained vectors close to the wanted eigenvectors ; the second one is the preconditioning subspace iteration method which uses a preconditioning matrix to impact the residual matrix obtained from the iteration procedure, so the distribution of eigenvalues is improved

    第一個改進演算法是用chebyshev多項式加速的子空間迭代法，它是用chebyshev多項式作用初始向量，使其更接近所要求的特徵向量。第二個改進演算法是對每次迭代所得的殘余矩陣直接進行預處理以改善矩陣特徵值的分佈。
  7. Firstly, we have put forward a mathematic form ? interest vector - to express the user ' s interest and have given a formula to calculate quantificationally the interest degree of interest item. secondly, we apply the method of reinforcement learning to intelligent learning agent to make it leam the user ' s interest more precision, more quickly and more efficiency, to make it discover the divert of the user ' s interest in time. thirdly, we have developed a mean of information search and filtrate on user ' s interest

    這些研究工作主要體現在：提出用戶興趣的數學表示形式? ?興趣向量，並提出定量地計算用戶對興趣項的興趣度的計算方法；提出採用強化學習演算法，使智能學習agent能夠更準確，更快速和更高效地學習到用戶的興趣和及時發現用戶興趣的轉移；提出面向用戶興趣的信息搜索和信息過濾方法；提出一種基於對象的agent編程模式，也稱為用擴充oo建模技術或方法學的適用性來設計agent系統。
  8. A new direction of arrival estimation method is proposed using a single vector hydrophone, which is composed of three spatially co - located but orthogonally oriented velocity hydrophone plus another co - located pressure hydrophone

    摘要提出了一種基於單個矢量水聽器的二維波達方向估計方法，該矢量水聽器由三個空間軸向垂直的振速水聽器和一個聲壓水聽器構成。
  9. In the paper, based on the method of low pair replacing with high pair, the problem of cam design was transferred to that of linkage design. by means of rotary unit vectors, the equations of displacement, velocity and acceleration of the replacement mechanisms were developed. and then, the virtual linkage ' s length and direction were deduced

    論文基於高副低代原理，將平面凸輪機構設計與再現函數的平面連桿機構設計統一為同一種方法，運用圓向量函數建立代換機構的位移、速度、加速度矢量方程式，求取虛擬連桿桿長和方向，由此展開凸輪理論廓線、實際廓線、曲率半徑和壓力角的求解，並得出用圓形刀具加工凸輪時刀具中心的軌跡方程。
  10. With continuous wavelet transform as feature extraction method and neural network as classifier, a transmission ge ar wear estimation system is designed and applied in estimating the wear condition of the gear

    以連續小波變換作為變速箱齒輪的磨損特徵向量的提取方法、以神經網路作為分類器，設計了變速箱齒輪的磨損估計系統，並應用於變速箱齒輪的磨損狀況估計。
  11. Rapid series expansion method for calculating eigenvector sensitivity

    特徵向量靈敏度分析的快速級數展開法
  12. The method that increases the attitude accuracy of strapdown inertial attitude and heading reference system ( siahrs ) with the infromation from inertial measurement unit ( imu ) its own is studied. according to the design idea of damping network in platform type, damping kalman filter in siahrs is designed to enhance the attitude accuracy via integrating attitude calculated by common siahrs and that estimated by accelerometers. in order to evaluate the effectiveness of damping attitude, the vehicle ' s movement should be detected in real - time. for this reason, the state chi - square test is employed in the damping kalman filter, and the failure detection vector are tested, which improves the sensitivity and reliability of failure detection. finally, static and dynamic experiments of actual system demonstrate the effectiveness of the proposed method

    本文探討了如何利用慣性測量組合本身的信息來提高捷聯航姿系統的姿態精度.根據平臺式阻尼網路的思想，設計了捷聯式內阻尼卡爾曼濾波器，將慣導系統捷聯解算獲得的姿態與加速度計估計的姿態進行組合，在系統非加速度狀態下，提高了姿態輸出的精度.為了實時監測系統的運動狀態從而判斷內阻尼姿態的有效性，本文成功將狀態2檢驗法應用在內阻尼卡爾曼濾波器中，設計了基於2個狀態傳播器的故障監測器，並通過對故障檢測向量元素的檢驗代替對整個向量的檢驗，提高了故障監測的靈敏度和可靠性.最後，實際系統的動靜態實驗驗證了本文所提出的方法的有效性
  13. This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information

    本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ，解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中，解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ，並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式，對疾病和證候的自動診斷進行了研究。
  14. Presents a method for sfs based on model of polyhedron. we carry out the algorithm by solving a overdetermined linear equations which is constructed through the distributing of the vector field. the algorithm can reconstruct 3d surface from photometric stereo image given the direction of illumination

    針對目前「從明暗恢復物體形狀方法」存在的問題，提出了以多面體模型為基礎的快速演算法，根據向量場的分佈建立關於物體表面深度信息的超定線性方程組，在最小二乘意義下求得物體表面的深度值。
  15. In the paper, based on the existing literature research foundation an analog circuit catastrophic fault location approach by using feedforward networks with back ? propagation learning is realized. by this approach, the simulation require ments before test are reduced because fewer training samples are needed, and the fault location process is fast. this method is very efficient in location of single hard fault wit component tolerances. the measureme nt space feature and the general characterization concept of single and double soft fault in linear circuits are presented. according to this concept, a linear circuits soft fault location approach using subhidden layer bpnn is established with element tolerance, and it is shown that this approach is successful in fault location. a double fault feature extraction.,

    本文在現有文獻理論研究的基礎上實現了採用bp演算法前向多層神經網路對直流測試下模擬電路硬故障的診斷方法。其特點是採用少量典型特徵樣本作為bp網路的訓練樣本，獲得訓練樣本的代價小，減少了測前工作量，同時診斷速度快，在考慮元件容差時仍有好的診斷效果。文中介紹了線性電路單一軟故障和雙軟故障所具有的電壓增量空間特性和統一特徵概念。
  16. The multistage constant modulus ( cm ) array is a cascade adaptive beamforming system that can recover several narrowband co - channel signals without training. the main idea of the smi - cma is to use smi to determine the initial weight for cma operation. the method can come up with the desire signal in despite of the interfering signal is stronger than the desire signal

    基於以上考慮，我們提出了基於smi - cma聯合自適應方法，該演算法可以分離多個同通道信源，由smi演算法決定cma演算法的初始權向量，在干擾信號較強時，仍有穩定的sinr輸出，具有較快的收斂速度。
  17. Including : ( 1 ) a face recognition algorithm using support vector machines is introduced. the svm training time is reduced dramatically owing to a fast svm training method which gets support vectors in advance and then uses an iterative and circulative strategy for training. ( 2 ) a twice fingerprint matching algorithm is introduced

    （ 1 ）利用支持向量機來實現人臉識別，採用了一種支持向量機快速訓練演算法:即利用svm訓練中只有支持向量起作用的特點，採用預先提取支持向量和循環迭代的方法進行svm訓練，大大減小了訓練規模，提高了訓練速度。
  18. It is believed by these algorithms that very good matches are likely to be found in the vicinity of reasonably good matches. although this assumption might not be necessarily true, it is useful for reducing the computation as the search can be broken down into stages where the algorithm successively narrows down on the regions of good matches. there are a large number of algorithms that make this assumption and these may be classified as algorithms based on the principle of locality

    目前用於計算運動向量的快速搜索法經常因為陷入局部最小而不能準確的計算到運動向量或者計算量過大讓人不能接受，提高運動向量估計的計算速度對于實時視頻壓縮編碼有著重要的意義，更重要的是要在保證估計精確度的前提下提高提高運動向量估計的計算速度，常見的搜索法往往不能在陷入局部最小和計算量上找到一個合適的平衡點。
  19. A fast non - iterative global motion estimation ( gme ) algorithm is disclosed for estimating the perspective transform global motion parameters from the motion vectors ( mv ) obtained from the block matching process that includes grouping a plurality of motion vectors in the input video stream into a predetermined number of groups of motion vectors, calculating a set of global motion parameters from each of the predetermined groups of the motion vector, and processing the set of global motion parameters generated from the calculation to obtain a final estimation

    本發明系關於一種快速非反覆式全域移動估測方法，以由區塊匹配程序中所獲得的移動向量去估測一透視轉換全域移動參數，其包含一分組步驟，將該輸入影像資料流中的多個移動向量區分成具有預定數目的移動向量之群組?一計算步驟，系依據每一群組中之移動向量，求取該等群組之全域移動向量參數值?一處理步驟，系處理計算步驟中所計算出的每一群組之群組全域移動向量參數值，以獲得一最後之全域移動向量。
  20. Power infusion : infuses the target with power, increasing their spell haste by 20 % for 15 seconds

    能量灌注：向目標灌注能量，提高他們的施法速度20 % ，持續15秒。
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