classifier system 中文意思是什麼

classifier system 解釋
分選機系統
  • classifier : n. 1. 分類者。 2. 【礦物】分級機。3. 【化學】分粒器。4. （漢語等中的）量詞。
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. Above all, the system fuse the eradiate noise ' s different sides " feature and offer strong elements for the next process : classifying. it is very important to study the classifier in this dissertation

    其中線譜特徵反映了船舶輻射噪聲的頻域信息，能量特徵綜合了不同頻段內的信息，而分維特徵反映了信號的時域的信息。
  2. Learning classifier system and its application to the aerodynamic shape optimization of reentry vehicle

    自適應分類器系統及其在再入飛行器氣動布局優化中的應用
  3. The exact nature of the classifier system is even more intriguing when classifiers encode several semantic dimensions ; hence more than one classifier may co - occur with a noun, often restricting or coercing the nominal meaning ( ahrens and huang 1996 )

    我們採用單農（ shannonandweaver1949 ）的訊息理論（ informationtheory ）來計算名量搭配的訊息內容，並提出用向量（ vector ）模式來計算名詞群間的距離。
  4. The principle 、 configuration and characteristics of the measure and control system in the grinding circuit with hydrocyclone classifier are introduced. the function and application result of the measure and control system are discussed with practical application

    本文介紹了井下進行采區控制導線的測量時，在前、后視點懸掛棱鏡進行光電測距的方法及應用情況。
  5. A handwritten numeral recognition system based on the combined classifier is built up in this paper. many pattern recognition ways and many handwritten numeral characters are used in the system

    本文建立的基於組合分類器的手寫數字識別系統，綜合使用了多種模式識別方法，全面反映了手寫體數字各方面的特徵。
  6. Author develop three text dassiliers lilie naive - bayes classifier, k nearest neighbor classifier and svm classifier. furthermore, including the three classifiers, one text categorisation system is built up, and it has high prachcability

    作者採用三個模型，實現了樸素貝葉斯分類器、 k近鄰分類器和支持向量機分類器三個中文文本分類器，集成了一個實用性較強的實驗系統。
  7. This paper illustrates detailedly the thin groupware auto - adaptive recognition system ; it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer. the recognition system uses " hough " transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image ' s brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria, adaptively gets the best threshold to divide the washer off the background. the recognition system uses the classifier based on minimal - error - ratio bayes method to make decision after getting image characteristic

    本文詳細介紹了薄形組合件自適應識別系統；闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像所進行的預處理方法。通過採用哈夫變換去除偽邊緣點的方法，有效地解決了識別區域的定位問題。針對裝配零件（主要是墊片）薄、小導致圖像信息少、識別難度大，以及材質不一導致採集到的組合件圖像亮度波動等問題，提出了使用最佳閾值迭代法和使用種子填充的圖像串列分割技術，自適應地找出最佳閡值，使墊片和背景分離，從而提取墊片數目信息。
  8. In the final, the thesis build a rapid face detection system using a cascaded classifiers based on adaboost learning algorithm, harr - like feature and the method of building classifier

    最後本文運用基於adaboost學習演算法和harr - like特徵及本文提出的由特徵構造分類器方法，採用一種分級分類器的結構，搭建了一個快速的人臉檢測系統。
  9. In the algorithm frame, the co - evolution algorithm combing with the niche technique, the selection mode of face - to - rank and pareto classifier, makes the solution of system be global optimal, not local optimal ; and the single objective optimal solution is extended to multiple objective pareto optimal solution

    在演算法框架中，協同優化演算法結合了小生境技術、面向排序的選擇模型以及pareto過濾器，使系統設計目標從局部最優進化到全局最優，同時把混合流水生產系統的優化從單一目標最優解擴展到多目標的pareto最優解。
  10. With continuous wavelet transform as feature extraction method and neural network as classifier, a transmission ge ar wear estimation system is designed and applied in estimating the wear condition of the gear

    以連續小波變換作為變速箱齒輪的磨損特徵向量的提取方法、以神經網路作為分類器，設計了變速箱齒輪的磨損估計系統，並應用於變速箱齒輪的磨損狀況估計。
  11. With fault diagnosis of rotating machinery as example, the similarity - based generalized rough sets theory was applied to reduction of incomplete decision system to find necessary conditions for diagnosis. based on the optimal decision system obtained from the reducts, bp neural network was designed for fault identification. the application of the reducted decision system to the neural fault classifier indicated that rough sets based reduction reduces the dimension of input to neural network, and raise

    在故障診斷的實踐方面，根據課題要求，在理論研究的基礎上，以microsoftvisualc + + 6 . 0為基本開發工具，綜合利用數據庫、 matlabc c + +數學函數庫、多線程和windowssockets網路編程等技術開發了基於intranet的大型機組在線狀態監測與故障診斷系統。
  12. In order to add the resource collected by nerms resource collecting system to database according to its content, we must give a label for each resource. if we just do the work one by one manually, we will find it ' s a tedious job and we must find a new tool to help us, so the resource classifier l

    本文提出一個頻率統計函數，一個基於頻率的分類規則適應度函數以及一個用於分類的打分函數，並把這三個函數結合適用於粒子群演算法的分類規則編碼來更準確的提取規則集，然後通過修改粒子位置更新方程使粒子群演算法適于解決分類規則挖掘問題。
  13. The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design

    首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。
  14. Based on the applications of classifier fusion theory, improved algorithms are proposed in those three different modules of avlpr - system. first, the error reduction for simple average ( sa ) and weighted average ( wa ) in the classifier outputs of the measurement level is analyzed

    本文嘗試從分類器融合理論框架出發，考慮車輛牌照識別系統的設計問題，針對該系統的車牌檢測、車牌圖象二值化和車牌字元識別等三個不同模塊，提出相應的演算法。
  15. In the paper, we apply the approach of data mining to log analysis system of ids, and especially solve the problem of intrusion model ' s drawing and classifier ' s constructing in the system, which also does solve the automatic process of log analyses

    將數據挖掘的方法應用於ids日誌分析系統，並構造出了入侵模式提取與檢測分類器建立的處理流程，從而解決了日誌分析自動化的問題。
  16. The experiment shows, through the avc system we designed, the outline geometrical characters of vehicles can be rapidly obtained, and the classifier can generally classify the passing vehicles. the result is mainly up to the mustard

    實驗表明，以上方法相結合設計出的車型自動分類器，可以快速獲取車輛的外形幾何參數，基本能實現車型分類，具有較為滿意的分類正確率。
  17. In previous classifiers this process is very time - consuming and costly, thus limiting its applicability. so our classifiers may meet the requirements of real - time and high accuracy. in this thesis, we give a survey of the state - of - the - art in chinese text categorization, from the building of the corpus, the divided syncopation system of chinese web document, the selection of index, and the design of weight to the structure of scusctc ( scu smart chinese text classifier ) and its implement in java

    在研究的過程中，我們系統考察了中文web文檔自動分類的各個環節以及具體的實現技術：從語料庫的建立，中文web文檔的分詞，索引的選擇，權重的設計方案及分詞系統smcw的建立，到特徵選擇方法的研究討論，各種分類方法的研究討論，最後到中文web文檔傾向性分類系統（ scusctcscusmartchinesetextclassifier ）的結構提出及用java語言開發實現該系統，並對最後的分類結果及中間分詞結果進行了細致的實驗和考察。
  18. The method of character recognition takes an important part in the whole system, and it has direct effect on the last license plate recognition result. the key technique lies in the matching of feature and classifier. typical difficulties are the character blur, character destruction and character image stained because of the performance of the vidicons, the clean degree, illumination conditions and the movement of the vehicle and so on

    車牌的字元識別是整個車牌識別過程中重要的一環，識別方法的好壞直接影響到了整個車牌最後的識別結果，關鍵在於特徵與分類器的選擇和匹配，難點主要是由於受到攝像機的性能、車牌的整潔程度、光照條件和車輛運動等因素車輛牌照識別系統（ lpr ）研究一的影響使得車牌字元出現較嚴重的模糊、缺損或污染，本文給出了一個字元識別的多特徵相結合的處理過程，使各個特徵互為補充，最後得到了一個較好的處理結果。
  19. In view of the feature of neural network and its advantages in pattern recognition, we have a great deal work in off - line handwritten character recognition based on neural network. we present two recognition methods based on neural network. one of which is the hybrid neural network recognition system, a multi - level neural network classifier constructed by using the multi neural networks integration technology

    由於神經網路的特點及其在手寫體字元識別領域體現出的潛力，本文對基於神經網路的手寫體字元識別技術進行了大量的研究工作，提出了兩種新穎的基於神經網路的手寫體字元識別模型，其中，基於混合神經網路的手寫體字元識別模型利用了在抗干擾和描述字元拓撲結構方面具有互補性的中心投影特徵和llf特徵，使用多神經網路集成技術構建了多級的神經網路分類器。
  20. The thesis discussed respectively these three factors in the rapid detecting algorithm based on learning, studied emphatically the method of building classier based on features and the combing of the weak classifiers which is needed to build rapid face detection system. about building classifier based on harr - like features, the thesis put forward a novel method based on the symmetry efface

    本文對基於學習的檢測演算法中的三個要素分別展開了討論，重點研究了由特徵構建分類器的方法和構建快速人臉檢測系統所必需的弱分類器的組合，關于特徵構建分類器，提出了一種新的基於人臉對稱性的由特徵構造分類器的方法。
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