本徵值向量 的英文怎麼說

中文拼音 [běnzhǐzhíxiàngliáng]
本徵值向量 英文
eigen vector
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  1. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  2. In this paper, we discuss some bicyclic mixed graphs which have few vertices on the bicycles, and find the eigenvectors corresponding to their smallest eigenvalues have similar structure properties to those of uncyclic mixed graphs

    對于非奇異雙圈混合圖，本文對雙圈點數較少的若干圖進行討論，發現其最小特徵值所對應的特徵向量與單圈混合圖的情形有類似的結構性質。
  3. Firstly, it introduced the import principium resolving thread and steps of analytic hierarchy process. secondly, it erected model of population modernization, which based on the steps of analytic hierarchy process. lastly, it got the maximal eigenvalue of dissymmetric matrix and corresponding eigenvector with sas, and normalized the eigenvector to get weight value

    本章分為兩部分，第一部介紹分析法的提出、原理以及解決問題的思路和步驟；第二部建立模型確定權重，根據層次分析法的原理和步驟，建立人口現代化指標體系的模型，運用sas求解所構造的非對稱判斷矩陣的最大特徵值，從而得出所對應的特徵向量，變形后得到權重。
  4. 3. use characteristic vector quantity of normal situation with leak characteristic vector quantity of situation compare, adopting valve method determinant the leakage of pipelines

    本文應用正常情況下的特徵向量與泄漏情況的特徵向量進行比較，並且採用閥值的方法判斷泄漏故障的發生。
  5. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。
  6. We prove that 0 is the eigenvalue of the system ' s host operator, and finally we give the eigenvector of the eigenvalue 0

    並證明了0是系統主運算元的本徵值，給出了0本徵值對應的本徵向量。
  7. Based on the theory of reyleigh minimum, the minimum of energy function of neural network was mapped to the eigenvector that was mapped to the minimal eigenvalue of the generalized eigenvalue problem, by which the precise solution of minimal eigenvalue was gained while the neural network moving to the minimum of energy function

    本文應用reyleigh極小值原理，將神經網路的能量函數的極小點對應于廣義特徵值問題的極小特徵值所對應的特徵向量，在神經網路向著能量函數極小點運動的同時得到了極小特徵向量的精確解答。
  8. Considering that the ferrite core is often made from good permeable material, the dissertation presents the condition that the normal component of the magnetic field strength is zero approximately at the inside surface of good permeable material, i. e. bn = 0 to determine the eigenvalues for the separation constant. during the solving process, the solenoid coil is supposed to be wound closely by infinite symmetrical delta - coils

    考慮到磁芯通常是由導磁性能非常好的軟磁材料構成，本文提出利用靠近良導磁材料內側磁場強度法向分量近似為零，即b _ n 0 ，這一邊界條件，來確定邊值問題中的本徵值。
  9. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  10. In this dissertation a new statistical tool called as grey - primitive co - occurrence matrix is proposed, which is based on predefined specific primitive texture structures. the features extracts from a set of this type matrix can be formed as a primitive texture feature vector and used in retrieving images from image database

    本文將統計方法與結構方法有機地結合起來，構建了紋理基元，提出了描述紋理圖像的灰度?基元共生矩陣，從這個矩陣中提取用以描述圖像的特徵值，並組成檢索圖像的特徵向量。
  11. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  12. 5 ) this dissertation presents new predictive models for the transient stability and small signal stability based on support vector machine theory that can solve the problems such as finite samples. a new method of feature selection and sample condensation is proposed to build predictive model which improves the practicability of the model greatly

    5 ）論文首次利用基於小樣本技術的支持向量機理論，設計了新的暫態穩定、小擾動穩定特徵值預測模型，提出了新的適合預測模型構建的特徵選擇、數據采樣策略，提高了模型的實用性。
  13. While in the stage of document classifying, nntcs inputs feature vectors of the document to be classified, runs network with fixed weights, then compares the output with the predefined threshold to judge the class of the unlabelled document

    而在文本分類的時候，輸入待分類文檔的特徵向量，運行固定權值的網路，得到的輸出值與閾值比較確定類別。
  14. 14 tan c m, wang y f, lee c d. the use of bigrams to enhance text categorization. journal of information processing and management, july 2002, 38 : 529 - 546. 15 ruiz m, sinivasan p. neural networks for text categorization

    使用我們提出的權值計算方法對每個待測文檔和主題模板中的特徵頻繁項目集進行打分，並以此權值為基礎在向量空間模型中計算待測文檔和主題模板之間的相似度，最後達到文本分類的目的。
  15. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    我們首先根據採集的樣本圖像構造一個協方差矩陣，然後求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造出一個特徵空間，然後將輸入圖像向該特徵空間映射，將獲取的映射系數與樣本庫中圖像的映射系數進行距離計算，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  16. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every image in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    然後，根據採集的樣本圖像構造一個協方差矩陣，求取該矩陣的特徵值，以這些矩陣特徵值對應的特徵向量構造一個特徵空間，將輸入圖像向該特徵空間映射，計算獲取的映射系數與樣本庫中各類圖像的映射系數的歐基里德距離，根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  17. For chinese phrase segmentation, a method of chinese phrase segmentation based on index was proposed and implemented, which has greater classifying efficiency compared with the traditional mechanical classification. for feature extraction, the method of mutual information was used, the disadvantages of traditional method of mutual information was analyzed, as well as the improving measures were brought out. for mail presentation, improved upon the traditional vector space model, a presentation method was proposed which is more suitable for the bayes computing

    在中文分詞方面，設計並實現了一種基於索引的中文分詞方法，提高了傳統的機械分詞法效率;在特徵提取方面，採用互信息值的方法，分析了傳統互信息方法的缺陷並給出了改進措施;在郵件的表示方面，對傳統的向量空間模型進行了改進，提出並採用了一種更加適合於貝葉斯計算的表示方法;用大量的測試樣本對引擎進行了測試，並就結果進行了討論分析。
  18. Hence, the transformation matrix composed with the eigenvectors corresponding to the largest eigenvalues of the transferred between - class scatter can maximize the fisher criteria

    然後在這個零空間里，尋找對應于樣本類間離散度矩陣的較大特徵值的特徵向量作為最終降維的轉換矩陣。
  19. First, robust eigenstructure assignment, eigenstructure assignment is an effective method for output decoupling of mimo system. here, we first design an objective function in term of desired location of close - loop eigensvalues, achievable structure of close - loop eigenvectors and the unstructured time - varying parameter perturbations in system matrix

    特徵結構配置對于mimo系統的解耦控制是一種很有效的方法，本文提出的演算法是：設計一個性能指標函數，綜合考慮特徵向量的接近程度，未被配置的特徵值的穩定性及系統的非結構型擾動。
  20. The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test

    同時，文中還構造了三層的前向神經網路，以小波包分析提取的故障特徵向量作為網路的訓練樣本數據，採用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播演算法來對神經網路進行訓練，並採用試驗的方法調整神經網路的初始值。
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