decision vector 中文意思是什麼
decision vector
解釋
決策向量-
To corner feature, both gradient magnitude change and direction change of gradient vector are discontinuity in a local image neighborhood, hence gradient - direction variation and gradient magnitude are used as another decision rule of the corner detection to improve antinoise
為了提高抗噪聲，根據角特徵不僅灰度變化是不連續的，且相對周圍其他點的梯度方向也是不連續的，提出利用梯度角變化和梯度幅值作為角特徵檢測的另一個準則。 -
In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition
在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。 -
2. investigating how to model the wsd. the na ? ve bayes model, maximum entropy, support vector machine and decision trees model are examined in chinese wsd
2 .考察了貝葉斯模型、最大熵模型、支持向量機和決策樹模型等四種數學建模方法在詞義消歧上的應用效果。 -
The first method is based on general knowledge. the second one is based on template - matching and mosaic image. last, the candidate of faces will be passed to the svm ( support vector machines ) classifier for the final decision
通過基於常識的人臉粗篩選之後，再進行基於人眼模板、人臉模板的相關匹配篩選和基於馬賽克圖的規則匹配篩選，最後送入支持向量機進行最終的判別。 -
With the help of dynamic qualitative information of working marine diesel power equipment in this field and expertise, a new long - distance oil monitoring expert system of marine diesel power equipment has been proposed and developed with the characteristic of expounding the dynamic features of marine diesel power equipment from the perspective of chaos knowledge, possessing intellectualized auxiliary decision - making mechanism based on fuzzy reasoning and neural network reasoning, utilizing mathematic analysis model established by means of track facility states of chaos vector and capable of evaluating the analysis results of oil monitoring facil ity ' s development of engine power and its working conditions accurately
然後，結合廣泛搜集的本研究領域內船舶柴油機動力裝置在運行中的動態定性信息與專家經驗，研製開發了運用混沌學的觀點闡釋船舶動力裝置的動力特性，並擁有基於模糊推理與神經網路協作推理的智能化輔助決策機制，採取通過求取設備狀態混沌向量等方法建立的數學分析模型進行數據分析，能準確地評價船舶柴油機動力裝置油液監控設備狀態變化趨勢及其運轉狀況的遠程輪機油液監控診斷專家系統。本文研製開發的遠程輪機油液監控診斷專家系統在internet intrabet網路環境下，具有遠程智能專家診斷的特點。 -
The rough decision support method is a family of rough set method for decision support, which include decision support methods based on condition vector, methods for additional condition vector acquisition, and methods for condition vector reduction
基於條件向量的決策支持方法能夠通過條件向量或相似條件向量，為決策者提供某條件組合的推薦決策，並給出決策強度、支持度等決策信息，從而達到決策支持的目的。 -
The vector map data is an important presentation of spatial data, its quality influences directly the analysis of all the applied system based on the map data, the correctness and the reliability of the decision and the success of the system
矢量地圖數據是空間數據的重要表現形式，其質量的好壞直接影響到所有基於該地圖數據的應用系統分析、決策的正確性和可靠性，影響到系統的成敗。 -
On the strength of the square loss function, this part also defines the vector loss function and matrix loss function, and discusses the bayesian risk decision solutions about random vector parameter and random matrix parameter under these loss functions respectively. secondly, the bayesian inference theory about single equation model is explored
在單參數平方損失函數的基礎上，定義了向量損失函數，利用向量化運算元vec定義了矩陣損失函數，並討論了這兩類損失函數下隨機向量參數和隨機矩陣參數的貝葉斯風險決策解。 -
In essence it takes the decision profile and decision template as target ' s feature vector and template respectively, and adopts template matching method to target recognition
該方法實質上是將目標的決策分布圖作為特徵矢量，將其和每類目標的決策模板進行匹配以實現融合識別。 -
The difference between bp networks and radial basis function networks is pointed out, and we discuss the decision of two important parameters of radial basis function networks. also, we improved on hcm algorithm which is often used to forecast by combining input vector with output vector and getting extended vector when we decide key parameter of radial basis function networks - - - - center vector
文中指出了bp網路與徑向基函數網路的區別，討論了徑向基函數網路的兩個重要參數的設定。在確定徑向基函數網路的關鍵參數? ?中心向量時，通過結合輸入輸出向量得到擴展向量的方式改進了徑向基函數網路用於預測中常用的hcm演算法。 -
We adopt another fault diagnosis method for the checking of polluted mycelia in the microbiological fermentation process. the method combines nonlinear principal components analysis technology with support vector machines to construct multi - layer support vector machines. the multi - layer support vector machines are able to extract main monitoring variables from many process variables, also obtain decision function with excellent generalization performance from limited samples of fault
在這里採用了另一種故障診斷方法，即把主元分析同支持向量機結合起來，這樣既可以從過多的監測變量中提取出主要的監測變量，又可以從有限的故障樣本得到具有較強推廣能力的決策函數。 -
This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector
文章提出了決策表的區分向量的概念，並給出了利用區分向量進行屬性約簡的方法。 -
In order to reduce the disadvantageous influence of decision profiles ' scattering on fusion recognition, the decision profile is taken as target ' s feature vector and k - nearest neighbor method is applied to classify the target
為減少目標決策分布圖散布對融合識別效果的影響，提出採用k近鄰方法對目標的決策分布圖進行分類，以實現融合識別。 -
We investigate the decision - making problem with a finite set of alternatives, in which the decision information takes the form of a fuzzy preference relation. we develop a simple and practical approach to obtaining the priority vector of a fuzzy preference relation. the prominent characteristic of the developed approach is that the priority vector can generally be obtained by a simple formula, which is derived from a quadratic programming model. we utilize the consistency ratio to check the consistency of fuzzy preference relation. if the fuzzy preference relation is of unacceptable consistency, then we can return it to the decision maker to reconsider structuring a new fuzzy preference relation until the fuzzy preference relation with acceptable consistency is obtained. we finally illustrate the priority approach by two numerical examples. the numerical results show that the developed approach is straightforward, effective, and can easily be performed on a computer
研究了決策信息以模糊偏好關系給出的有限方案決策問題，提出了一種簡潔且實用的模糊偏好關系排序方法.該方法首先建立一個二次規劃模型，然後基於該模型推導出求解模糊偏好關系排序向量的一個簡潔公式.基於獲得的排序向量，利用一致性比例對模糊偏好關系進行一致性檢驗.對於一致性較差的模糊偏好關系，則需反饋給決策者重新進行判斷，直至得到一個一致性可接受的模糊偏好關系為止.最後，利用2個算例對該方法進行分析和說明，數值結果表明該方法簡潔、有效，且易於在計算機上操作 -
These methods can find a preferred decision related to some condition vector or similar condition vector, increase the condition vector ' s decision strength to some decision vector b
附加條件向量確定方法則通過獲取附加條件向量（即附加的條件）的方式，來提高條件向量對決策向量的決策強度。 -
( 3 ) the method of face recognition based on the gabor wavelet and support vector machine has been analyzed in details, which results in that some problems, such as the selection of the cumulative contribution rate in the principle component analysis, the choice of the order of polynomial kernel function, and the determination of the decision
第三，細致分析了基於gabor小波和支持向量機的人臉識別演算法，歸納出該演算法在實際應用中所遇到的主要問題，即累積貢獻率選擇、多項式核函數階數的選擇、以及決策函數的確定，給出了累積貢獻率和多項式核函數的階數選擇規則，提出了支持向量機和最大值相結合的分類決策方法。
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