最小準則 的英文怎麼說

中文拼音 [zuìxiǎozhǔnzé]
最小準則 英文
minimum criterion
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 準 : Ⅰ名詞1 （標準） standard; guideline; criterion; norm 2 （目標） aim; target Ⅱ動詞1 （依據; 依照）...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 準則 : norm; standard; criterion; rule; formula; square
  1. In accordance with the problem that the fcm algorithm is quite time - consuming for search out cluster cancroids and may not be suitable for on - line modeling and control. this dissertation proposed an improved fuzzy identification method based multistage random sampling fuzzy c - means clustering algorithm ( mrfcm ). it has higher approximate precision and the cpu time has slowed down sharply compared with the common fuzzy

    Johnyen和liangwang介紹了幾種應用於模糊模型的信息優化準則，本論文在此基礎上對統計信息準則進行一些改進，並與快速模糊聚類和正交最小二乘方法結合，提高了模型的辨識精度和泛化能力。
  2. According to the definition of commons and von misses, the transaction conduct is the intending behavior among the persons. and the transactions costs include all of the costs taken place in the no - material - producing in which minimizing the costs is the standard of behavior

    根據康芒斯和米塞斯的定義，人與人之間的有意義的行動即是交易行為，交易成本則包括一切不直接發生在物質生產過程中的成本，成本最小是其行為準則。
  3. And then, some common methods of gdm, such as the ahp method, the weighted geometric mean method ( wgmm ), the borda - kendall method, the minimum variance ( mv ) method, the clustering analytic method, the cook - seiford distance measure, cb measure, the maximum and the minimum expected values, the concordance and discordance indices, etc., are used to discuss some consensus problems of gdm, including the consistency of the complex judgment matrix in ahp, the consensus methods of the aggregation of individual preferences ; the aggregation of analytic hierarchy process methods based on similarities in decision makers " preferences, a consensus measure on multiple criteria group decision making

    接著本文採用了群體決策中常用的一些方法（如： ahp法，加權幾何平均法， borda - kendall方法，最小方差法，聚類分析法， cook - seiford距離測度法， c _ b測度法，最大最小期望值法，一致性非一致性指標法等）對群體決策中的幾個一致性問題進行了研究，這些問題包括： ahp中復合判斷矩陣的一致性，個體偏好序集結的一致化方法，基於決策者偏好相似性的層次分析模型的集結中的一致性問題和多準則群體決策的一致性測度。
  4. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  5. On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier, a new classification method based on normalized euclidian distance, called wmdc ( weighted minimum distance classifier ), was proposed

    通過分析多重限制分類器和決策樹分類器的分類原則，提出了基於標準化歐式距離的加權最小距離分類器。
  6. Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

    卡爾曼濾波是線性無偏最小方差準則下的最優估計。
  7. Due to the short distance among the planes which fly in a group, the conventional low resolution radar can not distinguish them in both distance and azimuth ? if we use the technology of isar to resolve the difference among doppler frequency of the targets and obtain a fine resolution cross - cross image, we may separate them, but a long time of coherent processing is needed <, for the formation targets, it can be approximately divided to rigid body and nonrigid body, so for the formation targets, that can be regarded as rigid which has a relative position and an identical movement, can be approximately considered as a large target, and be compensated by translational phase with the rule of minimum entropy, but for the most those cannot accord with the approximation of rigid, being the doppler - frequency of the aim is linear changed, by the relax method with short data, increases the resolving performance of multiple target to the aim in the frequency domain, since cross - range resolution is based on the accumulative time, so it is greatly improve the resolution to formation targets by the instant cross - range image which produced by radon - wigner transformation

    低分辨isan成像及干涉技術應用研究一因此直接無法分辨編隊目標的架數，我們借鑒isar的技術，通過較長時間的相干積累，在多普勒頻域上對目標進行分辨。而對于編隊目標，可分為近似剛性的多目標和非剛性的多目標，所以對于可以近似為剛體的編隊目標相對位置固定，運動方式一致，可以近似看作一個大目標，採用最小墑準則對平動相位的進行補償，但是大多數並不滿足剛體近似的編隊目標，由於目標在相干積累時間的多普勒頻率近似呈線性變化，通過對較短數據利用relax的時頻分析方法，提高了頻率域上目標分辨的性能。由於橫向解析度取塊于橫向積累時間，所以利用radnwigner變換得到瞬時的一維橫向距離像大大提高了對編隊目標的分辨，對模擬和實測數據的大量分析結果表明此方法的有效性和可行。
  8. How to get the optimal fisher discriminant vectors efficiently in singular case is a very difficult and critical problem. in this paper, we try to solve this problem in theory

    該文從理論上解決了奇異情況下基於fisher準則的最優鑒別矢量集的求解問題，為高維、小樣本情況下線性鑒別分析方法建立了一個統一的理論框架。
  9. The new ways that solve multiple objectives decision making under risk into probability permanent type : decision making diagram method, matrix analysis method, multiple objectives markov method, the shortest distance method, successive type variation multiple objectives decision making under risk method and fuzzy analysis decision making method. 3. the new modes that solve multiple objectives decision making under risk into probability interval type and uncharted type : weighted method and sorting method 4 the new repent average value criterion that handle multiple objectives decision making under risk into probability uncharted type and generalizing the criterions that have been used into one objective decision making under probability into uncharted type to multiple objectives decision making under probability into uncharted type. 5. giving the error analyses method and decision result regulating method that been used into multiple objectives decision making under risk

    2 、探討了『決策圖法』 、 『矩陣法』 、 『多目標馬爾科夫法』 、 『最小距離法』 、 『連續型變量的多目標風險型決策法』和『模糊分析決策法』等解決概率固定型的多目標風險型決策的新方法。 3 、探討了『加權法』 、 『排序法』兩種解決概率區間型和未知型的多目標風險型決策的方法； 4 、在概率未知型的多目標風險型決策中改進了『後悔值準則』 ，提出了『後悔均值準則』 ；並將單目標概率未知型風險型決策的準則推廣運用到多目標概率未知型的風險型決策中去； 5 、探討了多目標風險型決策方法誤差分析及決策結果值調整的方法。
  10. Automatic image mosaic technology based on least euclidean distance criteria of net template

    基於網格模板的最小歐式距離準則圖像自動拼接技術
  11. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  12. Theory support is provided in this paper when platform parameters are designed. a fir low - pass filter is designed for the experiment following the criterion of maximal - error - minimization. the order and the impulse response sequence of the filter are presented in this paper

    本文運用最大誤差最小準則的優化設計方法設計出本試驗臺要用到的低通濾波器，給出了所設計濾波器的階數和濾波器單位響應序列，並畫出了該序列的幅頻響應特性曲線。
  13. And then chapter makes an analysis of the second substantive criterion of the procedural safeguard purpose which is based on the history of dispute settlement and theory of justice, the maximin rule founded by john rawls. chapter is about the positivist substantive criterion in accordance with the developing of social status

    其次，以羅爾斯的「社會正義理論」和「最大最小原則」為理論基礎，以糾紛解決方式的發展史為事實基礎論證了程序保障目的論的合理性，分析了實質標準之二? ?民事訴訟的目的。
  14. Without using a model whose topology is known for mesh fitting, the algorithm simplifies the 3d surface topology problem to 2d surface topology problem by projection. then the best 3d surface topology is deduced using the minimum summing of spans criterion based on the " minimum offset " criterion which is proposed in this paper to determining the points links between two adjacent contours. the custom software is designed for 3d rendering using opengl interface

    為解決不平行輪廓的重建問題，本文用投影的方法把三維表面拓撲結構問題轉化為二維表面拓撲結構問題；為確定平面輪廓間點的對應關系，本文提出基於最小偏移量準則的輪廓拼接演算法並用跨段之和最小準則來確定輪廓拼接的起始點和最佳可接受的表面，從而確定三維表面的拓撲結構。
  15. Based on data cloud, which is measured from 3 - coordinate measuring machine ( cmm ) or so, an algorithm to search lopological structure from 3d unorganized points using envelopment - box technology is proposed in this thesis. based on this method, we searching neighbor points of sampling point. we also improve the max - min angle criteria to realize local triangulation, and then get the normal of sampling point from the triangulation

    本文以測量得到的曲面數據點點雲為基礎，提出了一種基於包圍盒的自動尋找三維散亂數據點之間拓撲結構的方法，採用該方法尋找采樣點的鄰域結點，並對三角剖分中的典型優化準則?最小內角最大準則提出了改進，按照改進后的優化準則實現了采樣點的局部三角劃分，並進一步求解得到采樣點的法向量，依據法向量及鄰域拓撲關系在二次曲面的基礎上實現了散亂數據曲面重構中的數據點的自動分類。
  16. In this paper, we not only illustrate the superiority of quadratic spline wavelet edge detection ' s arithmetic from experimental work, but also prove quadratic spline wavelet is optimum edge detection ' s arithmetic based on canny optimum criterions of edge detection

    文中，我們不僅從實際工作中闡明了二次樣條小波邊緣檢測運算元的優越性，還從數學表達上推導了二次樣條小波是基於canny最優準則的最優邊緣檢測運算元。
  17. The typical optimizing criterion of triangulation is max - min angle criteria, but it has some restriction when applying in three dimensions. we proposed some amelioration by taking into consider the relationship of points and their neighbors. that can make the triangulation ' s space variation more even, and can reach the surface fairness request

    對三角剖分中的典型優化準則?最小內角最大準則應用於三維空間中時的局限性問題提出了改進方法，充分考慮數據點與近鄰點的空間關系，使三角剖分的空間形狀變化盡量均勻，保證了三角剖分網格的光順性要求。
  18. On the basis of contrast maximization autofocusing algorithm ( cma ), a method based on minimum entropy criteria ( mec ) for sar imagery autofocusing is proposed

    在對比度最大化自聚焦演算法的基礎上，提出了基於圖像熵最小準則的自聚焦演算法。
  19. In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality. in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence

    對于具體的模型小波基函數選擇，本文首先對樣本數據進行時頻域分析，根據小波基函數時頻空間覆蓋樣本時頻空間的原則，在小波框架中選擇建模所用的函數集，然後根據估計誤差最小準則，給出最小二乘回歸優選演算法以進一步優化小波基函數集。
  20. One is combined with the maximum average error criterion and the mean square error criterion, and the other is combined with the absolute value average error criterion and the mean square error criterion. theory analysis shows that the two new search methods have less computational complexity than that of the non - optimal method

    提出了兩種替換原有均方誤差最小準測的方法，分別是最大平均誤差與均方誤差最小準則相結合的搜索標準，以及絕對值平均誤差與均方誤差最小準則相結合的搜索標準。
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