fuzzy feature 中文意思是什麼
fuzzy feature
解釋
模糊要素-
At first, the paper try to defines the concept of quality of valuation based on the concept of quality in modern quality management ; secondly, the quality feature of valuation is put forward based on the analyzing of quality mark of valuation ; the third, the quality standards of valuation are put forward to clarificate the fuzzy understanding on it ; the forth, the paper analyze the influence factors of quality of valuation, and analyze which factor is controllable to the valuation mechanism base on the controllable principle ; at last, a set of appraisal index of quality of valuation based on the controllable factors is put forward, moreover, the author apply the fuzzy synthetically judge method to appraise the quality of valuation
本文首先在現代質量管理學關于質量概念的基礎上，結合資產評估的特點，對資產評估質量進行了界定；在闡述資產評估質量標志的基礎上，提出了資產評估質量的基本特徵；對資產評估質量的標準進行了分析，澄清了資產評估質量標準的模糊認識；針對我國資產評估質量現狀，分析了影響資產評估質量的因素，並運用可控性基本原理對其可控性進行分析；在對資產評估質量影響因素的可控性分析的基礎上，提出了一套資產評估質量評價指標，提出運用模糊綜合評判法對資產評估質量進行定量評價的基本方案。 -
In the light of the situation of valuation, the paper use the method of qualitative analysis combining with quantitative research to study the concept of the quality of valuation, quality feature, quality standard, the quality index and appraisal method, in order to clarificate the fuzzy understanding in the basic problem of quality of valuation and offer reference to appraise scenically the quality of valuation by the management of valuation trade
針對資產評估質量現狀，本文採用定性分析與定量研究相結合的方法，對資產評估質量的基本概念、質量標準及評價指標、評價方法進行研究，旨在澄清資產評估質量基本問題的模糊認識，為評估行業管理部門科學評價資產評估質量提供參考。 -
The oven ' s 3th sense fuzzy logic feature take guesswork out of cooking by sensing the temperature of food items to establish precise cooking times
電爐的第三模糊邏輯感應特性使得它能夠感應食物的溫度以確定準確的烹飪時間。 -
The essence of edid is to set up a normal behavior fuzzy sub collection a on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection b with real time transfer array, then detect with the principle of minimum distance in fuzzy discern method the innovation point of this paper is : put forward the method of edid, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility ; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of ids ; use tree type structure to preservation the character database, have saved greatly stock space ; in detection invade, carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility ; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method
這種方法的實質是在監控特權進程的正常系統調用基礎上建立正常行為模糊子集a ，用檢測到的實時調用序列建立模糊子集b ，然後用模糊識別方法中的最小距離原則進行檢測。本文的創新點是：通過對特權進程的系統調用及參數序列的研究，提出了基於euclidean距離的入侵檢測方法edid ，不僅能有效降低漏報率和誤報率，而且使實時入侵檢測成為可能；設計有獨立而完整的特徵數據庫，根據被監控程序的類別，分別設計正常行為、異常行為等，提高了檢測系統的強健性和可伸縮性；特徵數據庫按樹型結構存儲，大大節省了存儲空間；在檢測入侵時，實行頻度優先原則，優先分析和處理信息表中的高頻度行為特徵，提高檢測的速度和效率，使實時入侵檢測成為可能；同時實現了異常入侵檢測和誤用入侵檢測，彌補了單一檢測方法的不足。 -
Infrared target recognition method based on invariant fuzzy feature fusion
基於不變性模糊特徵融合的紅外目標識別方法 -
Focused on the technique, interaction and result of visualization, the system for transitional state visualization is put forward, which effectively promotes the transfer, analysis and synthesis course of transitional information with better visualizability, figurativeness and maneuverability. the main work of this dissertation is as follows : the main characteristics of transitional state, such as fuzziness, randomness, fractal and chaos, are concluded. based on the combination of the fuzzy mathematics, stochastic process, fractal and chaotic theory, the feature description model of transitional state is put forward to make itself the foundation of following visualization methods and applications
論文的主要工作包括：系統地提出了過渡狀態的特徵刻畫模型，概括了過渡狀態的模糊性、隨機性以及分形性與混沌性等主要特性，結合模糊數學理論、隨機過程理論以及分形理論與混沌理論等，以過渡率、過渡集合等作為特徵刻畫模型的主要內容，以過渡映射作為特徵刻畫的形成過程，有效地描述了過渡特徵的漸變過程，為可視化方法與應用的具體實現奠定了理論基礎。 -
By studying the algorithms of data - mining technology and taking full consideration of the fuzzy feature in the process of data - mining, it makes the classic mining technology fuzzy in order to show the inexactness and the ambiguity of things in the real world
本文通過對數據挖掘技術方法的研究，並充分考慮挖掘過程中模糊性，對經典的挖掘技術加以模糊處理，體現了現實世界中事物特性的不確定性和模糊性。 -
About the applications of cognitive map : line feature detection and form based on fuzzy cognitive map, basic shapes recognition based on fuzzy cognitive map, object recognition based on probabilistic fuzzy cognitive map, a new method of image understanding based on cognitive map and robot high - level planning based on fuzzy cognitive map have been realized in this dissertation
對于認知圖在圖像分析及理解中的應用：本文在認知圖理論研究的基礎上，把認知圖應用到圖像分析與圖像理解中。實現了一種基於模糊認知圖的線特徵檢測與形成方法、基於模糊認知圖的基本形狀識別方法、基於概率模糊認知圖的目標識別方法及基於認知圖的圖像理解方法，並將圖像理解與認知圖應用到機器人的高層規劃系統中。 -
The kernel of the software consists of 4 clustering algorithms including pair - wise average linkage analysis, hierarchical clustering, self - organization feature mapping, and fuzzy clustering which is first applied in the field
該軟體包含了兩兩平均連鎖聚類法、系統聚類法、自組織特徵映射法和模糊聚類等聚類演算法，其中模糊聚類演算法是首次用於基因表達模式分析。 -
A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval
研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。 -
The stress is basing coal - fired boiler inflammation system feature and control demand to design a kind of fuzzy - pi controller on based of genetic algorithm to control it. the controller refers the error and its variety rate as its inputs. and, in order to make the control qualities much better, concerns them as the performance index to optimize the membership function of the fuzzy variables and the pi ' s controller parameter by means of online adjujsting the genetic algorithm, inflammation system steam pressure loop and economic inflammation loop
重點是針對燃煤鍋爐燃燒系統的特點和控制要求，設計了一種基於遺傳演算法的模糊- pi復合控制器對其進行控制，該控制器以偏差、偏差變化率作為輸入量，通過遺傳演算法在線調整模糊控制器的模糊變量隸屬度函數和pi控制器的參數，從而達到優化模糊控制規則和pi控制器參數的目的，實現燃燒系統的蒸汽壓力迴路和經濟燃燒迴路的控制要求。 -
Then utilized these skeleton to form a description with the feature of strokes and stroke structure based on the theory and method of graph theory, and fuzzy recognition technique is introduced to achieve character recognition with excellent robust
在識別處理中，我們利用字元的筆劃特徵並引入模糊識別理論，提出了一種具有良好抗干擾性的快速字元識別技術。 -
In this paper, an algorithm based on watershed transformation and fuzzy logical catchment basins combination is proposed to suppress or remove the feature of natural background, and applied to infrared object boundary detection and labeling
文中在分水嶺演算法的基礎上，結合模糊邏輯方法，對自然背景下的紅外人工目標的邊界檢測和分割以及紅外背景的抑制進行了探討。 -
Based on the feature technology and object - oriented mechanism, we found the manufacture - oriented three levels ( namely part, feature and geometry ) model of mechanical part and the resource model ; secondly, we realize the concurrent design of mechanical part and process through decomposing cycle, and then we constitute the evaluation guidelines on the basis of evaluation strategy of levels, which carry out from two levels ( part and feature ) and four phases ( part rough evaluation, feature rough evaluation, feature detail evaluation and part general evaluation ) ; thirdly, we put forward some evaluation methods according the evaluation guidelines, which include the rule - based process evaluation method, rule - based and fuzzy evaluation - based method associated with resources, case - bas ed and feature - based cost estimation method ; at last, we give a manufacturing - oriented evaluation system of rotating mechanical part, which validate the evaluation guidelines and method of the dissertation useful and practical
以特徵技術為基礎，面向對象的編程機制為手段，建立了面向製造的三層次（即零件層、特徵層、幾何層）零件模型；同時進行了面向製造的資源建模。第二，通過細化循環，採用分層遞階的評價策略，分兩層（零件層和特徵層）四個階段（零件初評價、特徵初評價、特徵詳細評價和零件總體評價）建立可製造性評價指標；第三，以評價指標為基礎，分別提出了基於規則的結構工藝性評價方法、基於規則和模糊綜合評判定性和定量相結合的加工可行性評價方法、以及基於實例和特徵的加工成本估算方法；最後，以solidworks為開發平臺， vb6為編程工具，初步構建了面向製造的回轉類零件可製造性評價系統，它們驗證了本文評價指標和評價方法的實用性和可行性。 -
Fusion algorithms are designed at feature extraction level and matching score level, by concatenating feature vectors, and integrating the matching scores using an adaptive neuro - fuzzy inferencesystem ( anfis ), respectively
最後在特徵提取層和匹配值層設計了融合演算法，分別使用了向量連接法和自適應模糊神經推理系統（ anfis ） 。 -
( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors
（ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。 -
In order to meet the needs of this application, we propose several approaches to compute reliable dense depth maps, such as a feature - constrained stereo matching algorithm, a stereo matching algorithm based on gray segments and a stereo matching algorithm based on fuzzy identification, we demonstrate these techniques on synthetic and real image pairs, indicating that these approaches are feasible
圖像深度提取一直是計算機視覺領域的中心研究問題，為了得到圖像繪制系統必需的比較精確的高密度深度圖像，我們相繼提出了基於特徵約束的立體匹配演算法、基於灰度段的立體匹配演算法和基於模糊判別的立體匹配演算法，通過實驗驗證上述三種演算法均獲得了良好的效果。 -
This paper adopts the fuzzy mathematics thought to present the fuzzy direction feature
本文引入模糊數學的思想，提出了模糊方向特徵。 -
The fuzzy division of the character lattice image can overcome the stroke position influence to the feature extraction. the fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point
通過對字元點陣圖像的模糊劃分，克服筆畫位置對特徵抽取的影響；用模糊方向屬性特徵描述單個邊緣點筆畫方向屬性；模糊方向特徵是圖像的模糊劃分和邊緣點的模糊方向屬性特徵的結合。 -
According to stroke distributing characterisitic and topologic correlation of chinese characters, we present a new method based on elastic mesh and related fuzzy feature
根據漢字筆畫分佈特點及拓撲結構的相關性，提出了一種新的基於彈性網格及其相關模糊特徵的提取方法。
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