正確識別率 的英文怎麼說

中文拼音 [zhēngquèzhìbiélǜ]
正確識別率 英文
correct recognition rata
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 確 : 形容詞1. （符合事實; 真實） true; reliable; authentic 2. （堅固; 堅定） firm
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 正確 : exactness; correct; right; proper; rightness; rectitude; validity
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. The actual rate for accurately recognizing 98 printed mathematical expressions is 0. 867

    該系統實際用於識別98個印刷體數學公式的正確識別率為0 . 867 。
  2. The correctness is over 99 %. ( 5 ) shape features studied were aspect, first invariant central moment, elongatedness, roundness, circularity and thickness. aspect and first invariant central moment are the most effective shape features for identifying monocotyledonous weed from dicotyledonous weed, and the correctness was 93 %

    （ 4 ）利用修正的色度公式，由判別分析法確定色度閾值，對雜草圖像進行閾值分割，能夠有效地識別植物與非植物背景，正確識別率在99以上，但色度的計算量大於過綠特徵的計算量，不利於雜草識別速度的提高。
  3. 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
  4. After alteration the structure became laconic, both training rate and correct recognition ratio were heightened. it became easier to extract rules from trained network basing on the characters of structure and knowledge distribution in the network

    改進后網路在結構上比較簡潔，訓練速度和正確識別率都有了明顯的提高，並且根據網路結構和知識分佈的特點更容易實現規則抽取。
  5. The experiment has proven that the techniques of handwriting feather extraction and decision can get the satisfying right identifying rate

    本文運用的筆跡特徵的分析方法和分類判別方法，經過大量的實驗達到了滿意的正確識別率。
  6. Simulation experiments have been made. and the results show that, the correct recognition rate with above 90 % is achi eved by using the algorithms given in this paper

    對上述各演算法，本文均進行了模擬試驗，結果表明，綜合運用本文中提出的圖像處理與識別方法，正確識別率可達90以上。
  7. Experimental results demonstrate that kpca is not only good at dimensional reduction, but available to get better performance than conventional pca, of which the correct recognition rate is up to 92. 5 %

    實驗結果表明，核主成分分析不僅實現了降維，而且能取得比傳統主成分分析更好的識別性能，正確識別率為92 . 5 % 。
  8. Experimentation indicated that, to different goals, system had the correct discerning rate which is greater than 90 %, and it could give the result of discerning within 2. 8ms, this can meet the real - time character request

    實驗表明系統對不同目標的正確識別率大於90 ，而且在2 . 8ms之內給出識別結果，可以滿足實時性要求。
  9. ( 3 ) when the threshold of excess green, which is generated by red, green and blue without being normalized, is set at 30, it can correctly segment plant from soil background. the correctness is over 99 %

    （ 3 ）沒有歸一化的過綠特徵受自然環境的影響較小，當取全局閾值30時，就能夠有效識別植物與非植物背景，正確識別率在99以上。
  10. A b - p neural network classifier is designed to the classification of three types of ship by using the feature vectors. the average correct recognition rate of three types ship reaches to 80 %. the result show that the above techniques based on hos are valid

    將上述方法所提取的線譜和連續譜特徵作為特徵參量，採用b - p神經網路對三類船舶實際噪聲樣本進行識別分類，平均正確識別率達到80 。
  11. It is shown from our simulation that, when snr is no less than 15db, for awgn environment, the correct recognition rate is higher than 98 % and the average recognition time is about 3. 2s ; for rican environment, the correct recognition rate is higher than 95 % and the average recognition time is about 3. 26s ; for rican environment, the correct recognition rate is higher than 96 % and the recognition time is about 3. 28s

    模擬分析結果表明：在snr = 15db條件下，在awgn環境下，該設計的正確識別率不低於98 ，自動識別的平均大約時間為3 . 2秒；在rican環境下，該設計的正確識別率不低於95 ，自動識別的平均大約時間為3 . 26秒；在rummler環境下，該設計的正確識別率不低於96 ，自動識別的平均大約時間為3 . 28秒。
  12. The network classified over 90 % of the weed from corn seedling. and the influence of learning error and the number of hide layer nodes on network performance was also studied

    試驗結果表明，形狀識別神經網路能正確識別玉米、闊葉雜草與窄葉雜草，識別正確率在90以上。
  13. 3. based on the dynamic response of all damage cases, it discusses the indexes including frequencies, modal curvatures and their compounded index used in rbf networks. it is found that the method can identify the location and severity of the damage accurately and effectively and the compounded index is better than others

    3 .根據簡支工字鋼梁各損傷工況下的動力特性，分別研究了將頻率變化率、模態曲率變化及其組合參數作為徑向基網路的輸入指標時進行結構損傷識別的效果，發現基於徑向基網路的梁式結構損傷識別方法能夠正確識別損傷，且組合參數作為輸入指標時的識別效果更好。
  14. Combining wavelet features and morphology features of cancer cells in shape and structure, a cancer - cell auto - recognition method is put forward. the experiments on hybrid examples of lymphocyte, meothelial and adenocarcinoma shows that the recognition ratio using this method is nearly 100 %

    本文利用小波特徵與形態學特徵相結合，根據癌細胞形態和摘要結構的特點，給出了一種胸液脫落癌細胞的自動識別方法，對由淋巴細胞、間皮細胞和癌細胞組成的混合樣本的實驗檢測表明，該方法正確識別率接近100 % 。
  15. Secondly, comparing with the algorithm that was given by english scholars a. k. nandi and e. e. azzouz in 1995, this dissertation presents a modified automatic recognition algorithm of six kind of digital modulation types such as 2ask, 4ask, 2psk, 4psk, 2fsk and 4fsk, which only uses four key features, and has a very great exaltation in the rate of correct recognition and the performance of signal to noise, we puts forward the constitution of the best threshold which is applicable to the signal that changes within the scope of the signal to noise rate ( snr ) from 5db to 30db, and the overall success rate is not lower than 92 % when snr is over 7db

    其次，針對1995年英國學者a . k . nandi和e . e . azzouz提出的針對2ask 、 4ask 、 2psk 、 4psk 、 2fsk和4fsk這六種常用的數字調制信號識別的演算法，提出了一種數字信號調制方式識別演算法（ dmra ）的改進演算法。該演算法僅利用四個特徵參數，就可以識別這六種調制方式，而且在調制識別率和信噪比性能上都有了很大的提高，能夠在信噪比不低於7db時，對實際信號的識別正確率高於92 % 。並且提出了最佳門限的設置方法，設置的門限適用於信噪比在5db ~ 30db范圍內變化的信號。
  16. It ' s discretionary, not directly or explicitly recognized by the formal reward system, and that in the aggregate promotes the effective functioning of the organization

    這種行為是自發的，不被組織正式獎勵系統直接或明確識別，但在總體上有利於提高組織功能和效率。
  17. Some new ideas are proposed in this thesis based on svm and ica : firstly, a modified svm method based on posteriori probability theory is given, which makes the classification super plane corrected from the original one. a better classification result is obtained without finding the best quadric optimization algorithm and large scale training datasets are reduced to small scale training datasets at the same time. secondly, ica is applied to the preprocessing period of the recognition character images for purpose of feature extraction and dimension reduction

    本文在系統研究svm和ica的基礎上提出了以下新的觀點：其一是採用了引入后驗概率的修正svm方法，它在原分類超平面的基礎上不斷修正分類超平面，提高分類正確率，從而避免了尋找最優二次規劃的麻煩，同時將大規模訓練樣本集化為小規模訓練樣本集；其二是應用獨立分量分析ica對需要進行識別的字元圖像預處理，提取字元特徵，降低輸入數據的維數，從而可以為下一步的svm識別過程提供好的數據集，用以提高識別率和識別速度。
  18. As there are various types and formats of traffic telegrams, our method shows how to define the formats of telegrams, the grammar rule and the recursive descent - parsing algorithm to analyze the telegrams. the results shows it has high accuracy and adaptation for many types of telegrams, each of which has several formats

    該演算法基於自上而下的語法分析，實現了包括不規范電報在內的航管電報的自動識別及自動處理，實際應用表明該演算法有很好的適應性和準確性，大大提高了識別率和正確率。
  19. The transient analysis and simulation studies in time - domain showed that the transient capacitance current of busbar is unable to be caught due to the limitation of the given sampling frequency, therefore the transient current singularity of the fault line and the non - fault line will approximate, which prevents to identify the fault line with the criterion calculation result of transient current protection

    研究結果表明，線路出口故障時暫態電流保護完全失去選擇性的根本原因是，在給定的采樣頻率的限制下，難以捕捉到過渡過程中極其短暫的母線分佈電容中的暫態電流，從而故障線路與非故障線路暫態電流波形的奇異性相近，根據故障線路和非故障線路的暫態保護判據計算結果不能正確識別故障線路。
  20. The convergence of the pnn decision rule for the bayesian decision rule is proved with probability. an explicit formulation of pnn generalization ability is proposed. and the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability

    證明了pnn的決策函數依概率收斂于貝葉斯決策函數;給出了pnn的推廣能力表達式;證明了一個分類網路的測試集正確率是該網路推廣能力的極大似然估計;給出了分類網路中需要的測試集數目表達式;證明了pnn推廣能力不大於由貝葉斯決策所帶來的正確識別率
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