eigenvector matrix 中文意思是什麼

eigenvector matrix 解釋
特徵向量矩陣
  • eigenvector : 本嶄量
  • matrix : n （pl matrices 或matrixes）1 【解剖學】子宮；母體；發源地，策源地，搖籃；【生物學】襯質細胞；間...
  1. 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。
  2. A simple method for solving matrix eigenvalue and eigenvector

    求矩陣的特徵值與特徵向量的一種簡捷方法
  3. Initial vector and iterating control in the solution to eigenvalue and eigenvector of a matrix by the matrix iterarion method

    乘冪法求矩陣特徵向量與特徵值的初始向量及循環控制
  4. In this paper, through treating lines reciprocal transformation to a matrix, cogradiently reach the eigenvalue and eigenvector of a matrix, to solve the question treat a eigenvalue under without parameters, and given some advanced theorems

    摘要通過對矩陣進行行列互逆變換，同步求出矩陣特徵值及特徵向量，解決了不帶參數求特徵值問題，並給出一些新定理。
  5. Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  6. An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  7. Besides, eigenvalue analysis is used in sound - impedance matrix. with the help of optimization theory, the conclusion is received that the radiation efficiences by a group of velocity distribution corresponding to eigenvector are proportional to the eigenvalue of the velocity vectors

    並對阻抗矩陣進行了特徵值分析，從理論上說明了特徵向量對應的一組速度分佈，其輻射效率正比于該階特徵向量對應的特徵值。
  8. The gradient eigenvector priority method of fuzzy complementary judgment matrix

    互補判斷矩陣排序的梯度特徵向量法
  9. In the presence of impulsive noise, the two received signals are combinated, so the estimated impulse response of the channel is the eigenvector of its covariation matrix corresponding to the smallest eigenvalue, which can be realized adaptively using generalization of the normalized least mean - norm ( generalized nlmp ) algorithm

    該演算法在脈沖噪聲環境下，組合兩個接收信號，使其共變矩陣最小特徵值對應的特徵向量為通道的估計，並基於廣義歸一化最小平均范數（廣義nlmp ）方法自適應得到該特徵向量，從而獲得時延估計。
  10. The integrative chilling damage index successions of 22 representative stations for 44 years were calculated. let those successions consist of a matrix. do eof to the matrix and get two meaningful eigenvector fields, and therefore two main patterns about the spatial distribution of winter chilling damage in guangdong was found : the whole distribution pattern and the south - north distribution pattern

    計算了22個代表站44年的綜合寒害指數序列，構成一個綜合寒害指數序列的時變矩陣，對該矩陣進行自然正交分解，獲得了2個有意義的特徵向量場，由此發現廣東冬季寒害的地域分佈主要有2種型式：整體分佈型和南北分佈型。
  11. The characteristic value of the so - called inverse algebraic eigenvalue problem is that under certain restrict conditions against the question, elements of matrix are determined according to eigenvalue or eigenvector. the practical inverse alebraic eigenvalue problem arose in phisical chemistry in the study of molecular structures. it arises in various areas of application in a lot of filelds, such as dispersed system of physical mathematic, design of vibration system of the structure, correct and control, particle nuclear spectroscopy, linear variable control system and so on

    所謂代數特徵值反問題就是在一定的限制條件下，根據給定的特徵值或特徵向量決定矩陣的元素，它是在研究物理化學中研究分子結構時發現的。矩陣特徵值反問題在數學物理反問題的離散系統、結構振動系統的設計、校正與控制、粒子物理的核光譜學、線性多變量控制系統的極點配置等許多領域都具有重要的應用。
  12. One - dimension noise subspace - based method always assumes that only the minimum eigenvalue of the signal covariance matrix is the noise eigenvalue, and the corresponding eigenvector is the true noise vector and constructs the one - dimension noise subspace

    基於一維噪聲子空間方法始終認定只有信號協方差矩陣的最小特徵值才是噪聲特徵值，其對應的特徵向量才是真正的噪聲向量，並構成一維噪聲子空間。
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