classification efficiency 中文意思是什麼

classification efficiency 解釋
分級效率
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  • efficiency : n. 1. 功效。2. 效率；效能；實力，能力。3. 【物理學】性能。
  1. In order to improve the efficiency of classification based on feature matching, the method of azimuth estimation from sar image is studied. a method of target ' s azimuth estimation from sar image using peak featur e based on linear regression is proposed, besides goodish estimation accuracy and high computation efficiency, it can also provide the confidence interval of the estimation, which can meet the need of model - based sar atr system that uses feature very well

    為了提高基於特徵匹配的saratr系統的分類效率，論文進一步研究了sar圖像目標方位角估計方法，提出了一種利用峰值特徵基於線性回歸的sar目標方位角估計方法，該方法除了具有計算速度快、估計精度較高的特點之外，還能在估計方位角的同時，給出該估計的置信區間，從而能更好地滿足利用特徵基於模型saratr系統的需要。
  2. Using the normal and neighbor relationship, classification of scattered data points is realized according to the quadric surface. the typical algorithms of surface reconstruction from 3d scattered data points are introduced, and then we discuss the current surface tessellation algorithms about their adaptive range, low efficiency

    本文首先對三維散亂數據點重構曲面的典型演算法和現有的曲面網格劃分演算法進行了分類與比較，針對現有的散亂點曲面重建演算法存在的低效率和局限性問題提出了相應的解決方案。
  3. 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。
  4. Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis

    網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析
  5. The 6 - s table has the merit : the high - grade ore scaled, the classification efficiency high, safeguards easily, and advantageous for the adjustment stroke

    搖床具有富礦比高，選別效率高，看管容易，便於調節沖程。
  6. The effect of the shape of particles, the density and velocity of feeding, grain size distribution and temperature to the efficiency and precision of classification were studied

    通過實驗來分析顆粒粒度分佈、顆粒的形狀、給料速度、料漿濃度以及溫度對分級精度和分級效率的影響。
  7. Work out the standard result of economic coefficient, it is important parameter in classification on arable land. it also provides references for the research of economic efficiency of arable land and balance and coordinates the differences of classifications in various regions on arable land

    計算出的全國各縣基準經濟系數成果可作為國家級分等參數，為宏觀研究農用地經濟效益，平衡協調區域間農用地等別差異提供參考依據。
  8. The general direction and the target classification unfit the present day educational development ; the assessment index lacks scientific basis ; formalism overflows ; emphasizing the classroom teaching skills excessively ; overlooking the development of students and the pursue in the overall teaching goal, and the realization of it lacking monitor system. all the above mentioned problems are negative factors in the professional development of teachers, analyzing the problems and the teaching enthusiasm teaching efficiency and teaching development and putting for some suggestions in improvement in the teaching assessment of primary schools and middle schools

    指出，當前中小學教師教學評價實踐中存在的主要問題有，教師教學評價缺乏正確的導向；目標分類不符合素質教育和新課程改革的要求；評價指標缺乏科學依據；形式主義泛濫，過分注重教師的課堂教學技巧，忽視學生的發展及教師在教學中整體目標的追求與實現，缺乏監督機制不利於廣大教師的成長與專業發展。
  9. But in fact, difficulty in classification has been an obstacle in the utilization, conservation and application of the palm resources for the specialty of their geological distributions and morphological structures, and the lack of research on the physio - ecological principles in cultivation and appliance with the palm resources has not only coursed waste in plant introduction and acclimatization but also seve rely influenced the elaboration of the ecological efficiency of palms as an emblem of tropical plant landscape in the construction of urban green system

    然而，由於棕櫚科植物地理分佈和形態結構的特殊性，分類鑒別上的困難已經成為這類資源科學保護、合理開發利用上的嚴重障礙；同時也由於對棕櫚科植物栽培應用中的生理生態規律缺乏研究，在引種馴化和推廣應用的過程中造成了不必要的浪費，並嚴重影響了這種熱帶植物景觀象徵的園林植物資源的生態效益的有效發揮。
  10. Through the study of the establishment of is09001 quality management system and implementation of is09004 in zhuzhou cemented carbide group ltd., we can get the following conclusion : by the development of is09001 quality management system, the companies can solve the problems they had met in the quality management ; quality management of the organizations can be improved ; a good base will be built for the continual improvement. by the implement of is09004 standard, the companies can study the efficiency, interested parties, quality cost, self - classification and systems compatibility, which result in continual performance improvement. the eight quality management principles should become a part of the company culture, which lead the organizations to the perfect management model

    本文通過對株洲硬質合金集團iso9001質量管理體系建立過程的控制方法和iso9004標準實施方法的分析，指出企業可以通過正確地實施iso9001質量管理體系標準，初步解決組織原來存在的質量管理問題，提高企業的質量管理水平，並建立一個較好的質量管理平臺，為質量管理體系的持續改進奠定良好的基礎；指出企業可以通過在iso9001質量管理體系的基礎上應用iso9004標準，開展效率、相關方、質量成本、自我評定和體系兼容工作，持續改進組織的整體績效；指出企業可以通過對八項質量管理原則的學習和應用，使之成為企業文化的一個組成部分，指導組織向卓越管理模式前進。
  11. Determining method of the classification efficiency for dust prevention measures

    煤礦防塵措施的分級除塵效率.測定方法
  12. Taking attributed scattering center - based classification as example, the computation of feature likelihood function under many - many and 1 - 1 correspondence are studied, by using the algorithm of bipartite graph perfect matching to find the optimal 1 - 1 correspondence, the computation efficiency is improved greatly, the relations of likelihood function between 1 - 1 and many - many correspondence are analyzed, and two sub - optimal methods of calculating the likelihood function of 1 - 1 correspondence are presented

    本章以基於屬性散射中心特徵的分類為例，深入研究了多?多對應和1 ? 1對應特徵似然函數的計算，通過將求解二分圖最佳匹配的演算法用於尋找特徵之間的最優1 ? 1對應關系，有效提高了1 ? 1對應特徵似然函數的計算效率，分析了1 ? 1對應和多?多對應特徵似然函數之間的關系，給出了兩種次優的1 ? 1對應特徵似然函數計算方法。
  13. Research on raising classification efficiency by high intensity demagnetization technology

    高場強脫磁技術提高分級效率的研究
  14. The given method is simple and high efficiency, because most classification problems could be done through the first criterion, and complex solution procedure in getting the object ' s area could be saved

    該方法簡單有效，在大多數情況下用準則一即可判斷物體形狀，從而避免進行較復雜的目標面積的計算。
  15. Interprets essentials of classification of the public building, architectural design and thermotechnical design, energy efficiency requirements for hvac system design and supervision of the design

    摘要對北京市地方標準《公共建築節能設計標準》的主要特點，包括甲乙兩類建築的劃分、建築設計與熱工設計、暖通空調系統設計節能要求、節能設計的監督管理等要點作了解讀。
  16. Finally, combining the two extraction methods with the two classification methods, the thesis put forward four models of palmprint recognition : k - l + ld model, k - l + nn model, nn + ld model and nn + nn model. the experiments show the accuracy, efficiency and the fault tolerance ability of these models. in terms of their characteristic, we can apply them in various fields

    論文把兩種特徵提取方法和兩種分類器設計方法進行結合，提出k - l變換與最小分類器、 k - l變換與bp神經網路分類器、線性神經網路與最小分類器、線性神經網路與bp神經網路分類器四種組合，最後對四種識別方法進行比較，根據它們識別的準確率、效率以及容錯能力對識別結果進行分析，總結出各種方法的優缺點，根據它們的特點，提出在不同方面的應用。
  17. Compared with the other traditional algorithms, our synergetics based classification has the distinguished superiorities in feature extraction layer. the adjoint vectors representing the statistic feature of fingerprint images make global retrieve possible, promote the classification efficiency and deduce the feature extraction difficulty

    與傳統特徵提取過程不同，伴隨向量提取了指紋像素域的統計特徵，在指紋庫中形成整體檢索，有效提高了分類效率，降低了特徵提取的難度。
  18. The decision tree had a lot of algorithms, this paper focus on the optimization of fast classification in the face of n - value attribute of id3 algorithm which had parameters of user ' s interest. on the basis of avoiding the weak relevant attribute of n - value covered the worth strong relevant attribute, simplify complexity of the original algorithm and code cost through the mathematics tool, thus raise the speed of operation while using this algorithm, and lower costs in thrift as much as possible, to raise the efficiency

    決策樹學習有很多演算法，本文著重研究了對引入用戶興趣度參數的id3演算法在面對多值屬性時的快速分類的優化，在避免了多值弱相關屬性覆蓋少值強相關屬性的基礎上，通過數學工具簡化原演算法的復雜度和編碼代價，從而提高使用該演算法時的運算速度，盡量多的節約計算時間，從而達到降低成本的，提高效率的目的。
  19. Furthmore, on the higher coefficient level, the individuals in each group are sorted into subgroups. by the selected amplification results with one pair of primer, the wild germplsms were efficiency distinguished. the traditional classification of cavendish subgroup based on caudex height is not strict corresponded with gene type similarity

    在相似系數0 . 62的水平上將供試的60份蕉類植物分為四個群體，在相似系數0 . 64的水平上將栽培蕉劃為兩個類群，在相似系數0 . 83的水平上將香牙蕉類群劃分為五個亞群；用一對引物的aflp分析對25個野生蕉進行了劃分；認為傳統的將cavendish亞群分為五個類別的分類依據與基因型之間並無嚴格的對應關系。
  20. The model can improve classification precision and recognition efficiency effectively, make full use of the advantages of multi - rules neural network and classification and regression trees, and make up their respective disadvantages at a certain extent

    該模型能夠有效提高分類精度和識別效率，充分利用多準則神經網路和分類回歸樹各自的優點，一定程度上避免各自的缺陷。
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