識別準確度 的英文怎麼說

中文拼音 [zhìbiézhǔnquè]
識別準確度 英文
recognition accuracy
  • : 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
  • : 別動詞[方言] (改變) change (sb. 's opinion)
  • : Ⅰ名詞1 (標準) standard; guideline; criterion; norm 2 (目標) aim; target Ⅱ動詞1 (依據; 依照)...
  • : 形容詞1. (符合事實; 真實) true; reliable; authentic 2. (堅固; 堅定) firm
  • : 度動詞[書面語] (推測; 估計) surmise; estimate
  • 識別 : 1 (辯別; 辯認) discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Through comparing the experiment results in different illumed condition, the results have proved that the accuracy reached the request of practicality

    通過對其在不同環境照下的實驗測試,證明指針率達到了實用化的要求。
  2. 4. using processed frequencies and first order modal dofs in a few points as network inputs, trained neural network gives excellent assessment results of a steel truss bridge

    4 、本文以結構的低階頻率和少數節點的一階振型分量,經預處理後作為神經網路輸入,實現了對一鋼析粱橋的損傷位置和損傷程
  3. Through fusion of image data from different aerial remote sensors, we can improve the image resolution and analysis results in precision and believability, and further improve the effectiveness in detection and recognition of specific aerial targets

    通過對不同航空遙感傳感器所獲取的圖像數據進行融合,從而提高圖像的解析、圖像分析結果的性和置信,並最終提高對特定航空目標進行自動檢測、的有效性。
  4. Experiments show that the face feather and the fingerprint feather is more accurate, more suitable for classify, and decreases the complexity of the algorithm, and improve the accuracy and the operating speed of the multi - biometrics system

    實驗表明,本文演算法得到的人臉特徵更有利於人臉分類且計算量大大減小,指紋特徵更為且提高了特徵提取速,同時有利於提高綜合系統的和速
  5. Structural matching is a main approach for on - line chinese character recognition. in order to reduce its great computational comple xity and improve its performance, people have been seeking for a way to guide the whole matching by the result of partial matching. in this paper, the authors prop osed 45 basic components from 3, 755 categories of the daily - used chinese charac ters to guide the stroke segment matching. because they always locate at either the beginning or the end of the stroke segment string, these components are easy to extract and separate from other parts of the character. besides, the reference templates of these components are dynamically extracted from the reference segmen tstring and dependent on the current matched character so that a more accurate matching is carried out. experiments show that the segment matching computation h as reduced almost 50 %. the approach is also enlightening for other similar object matching problem

    結構匹配是一種有效的聯機手寫漢寫方法,為了減少匹配運算,人們一直在尋求利用部分匹配的結果來引導整體匹配的方法.在特徵匹配與結構匹配綜合的基礎上,從3 . 755個一級國標漢字中提取出45個子結構,利用它們來引導結構匹配.由於這些子結構總出現在字首或字尾,因而對它們的檢測比較容易.同時,通過建立子結構活動模板及設計子結構動態抽取演算法,使得子結構匹配的得到很大提高.實驗結構表明,該方法使結構匹配的運算量減少約50 % ,並對類似的物體問題有一定的啟發意義
  6. The measurement is prerequisite to the intellectual capital accumulation and operation. and i also analyses the principle and method on estimating the intellectual capital, only base on this can we operate the intellectual capital well

    在簡單介紹智力資本構成的基礎上主要分析了智力資本測的原則以及測方法,只有在、正的測的基礎上才能做到有效的運營智力資本。
  7. At the present time the prediction method of attracting pest with black light and recognizing and counting by man is generally adopted. there are some serious shortages such as bad recognition accuracy and low efficiency. it reduces seriously accuracy and timeliness of prediction and is disadvantage in guiding insect disease prevention

    目前普遍採用的黑光燈誘集害蟲、人工計數的測報方法,存在性差、效率低等嚴重缺陷,極大地降低了測報的和時效性,不利於指導農田害蟲的防治工作,因此本文提出了基於機器視覺和小波分析的圖像技術,用於農田害蟲的自動檢測預報。
  8. The experiments and their relevant results show that the recognition accuracy reaches 98 %

    實踐表明,該方法能快速從車牌漢字圖像中辨出漢字字元,識別準確度可達98 % 。
  9. This method is reliable and accurate

    該方法識別準確度高,可靠性強。
  10. 6. designed fuzzy recognition module in the software to screen out the disturbance from pedestrians, non - driven vehicles and motorcycles for higher counting accuracy

    在軟體中設計了模糊累計車流量模塊,可排除行人或非機動車、摩托車作為遮擋物可能造成的計數干擾,大大提高計數
  11. In this paper we studied the textural features extraction, remote sensing images classification and bp neural network techniques and their applications in the meteorological problems such as recognition of the cloud cluster feature, cloud - drift wind retrieval and heavy rain process analysis etc. to the question of the low precise recognition of satellite images by using spectral features, the proposed approach assumes to perform a multiple analysis based on an advisable decision - making model by first developing a mixed pixel model which was based on the textural features of images, and then improving the recognition intelligence

    本文對模式領域中的圖像紋理特徵提取、遙感圖像分類、 bp神經網路與紋理特徵組合分類等方法,以及它們在雲團屬性、雲跡風反演和暴雨過程分析等氣象問題中的應用作了研究。針對過去利用圖像光譜亮特徵進行分析氣象衛星圖像不高的問題,本文提出了發展混合像元的分解模型,以圖像的紋理特徵為基礎,提高圖像的智能水平,以實現在分析決策模型的支持下,快速的復合分析的解決方案。
  12. This method could be used for reference by other fp technology, and also by other biometric, image and pattern recognition and classification, etc. the main conclusion, the shortage and the prospect of the research of this thesis are given finally. structure - based fp recognition method not only makes best use of texture structure information contained in the gray level fp image but also reflect the local information

    基於結構的指紋演算法充分利用了蘊含在指紋灰圖像中的豐富的紋理結構信息,又能反映局部信息(細節點) ,因而彌補了傳統方法在小面積指紋的上的不足;基於anfis的匹配演算法和指紋的補償演算法,對于指紋圖像中的噪聲和變形有著很好的魯棒性,達到了令人滿意的率。
  13. The experimental results show that the method is effective to identify the flow patterns of bubbly, plug, stratified, wavy, slug and annular in a horizontal pipe. the identification accuracy is shown as follows : bubbly flow is 93. 3 %, plug flow is 85. 3 %, stratified or wavy flow is 97. 3 %, slug flow is 98. 6 %, and annular flow is 92. 7 %. an estimation of the process time is 22 frame / s

    實驗結果表明,該方法能自動有效地水平管道內的氣泡流、塞狀流、層狀流、波狀流、彈狀流和霧環狀流等基本流型;率如下:氣泡流為93 . 3 ,塞狀流為85 . 3 ,分層流為97 . 3 ,彈狀流為98 . 6 ,霧環狀流為92 . 7 ;圖像速約為22幀秒,適合於在線實時兩相流流型。
  14. Fully autonomous layered star identification algorithm, which divides the detected stars to lbs and lds, gives priority to lbs in making star triangle and identification, so can find the matching star quickly. it takes the maximum matching reliability and expanding index at the edge of na to reduce the influence of position error, magnitude error and fake star, so have high identification correct rate. it can be used for full and local sky star identification

    全天自主分層星演算法,採用分層的方法,以局域亮星為主構造和觀測星三角形,減少了待的觀測星三角形數量,具有較高的;採用最大匹配可信和索引的邊緣擴充方法,可以在一定程上解決位置誤差、星等誤差和偽星干擾等問題,具有較高的率;既可以進行全天自主星,又可以進行局部星
  15. Cascade representation is adopted to represent face rapidly to improve the fast face representation from coarse to fine, from simple to complex, and to improve the speed and accuracy of the processing. subsequently, designs of the classifiers are described in three aspects. first of all, some common classifiers are firstly discussed such as sf ( sign function ), nn ( nearest neighbour ), adaboost, svm ( support vector machine ), ann ( artificial neural network ) etc. then appropriate classifiers for face detection and recognition are selected

    通過對pca 、 lda 、 gabor和like - harr人臉表示方法的研究,分為人臉檢測和選取了較為穩定而的人臉表示;初步嘗試了利用adaboost分類器進行特徵選擇從而消除冗餘特徵,並且提出了採用級聯表示方法快速表徵人臉,從而實現由粗到精、由簡單到復雜的快速人臉表示,這樣既提高了人臉的檢測和的速,還有利於檢測率和率的提高。
  16. A new method for the splicing - site recognition of rice dna sequences was designed. based on the gt - ag intron organization principal, support vector machines ( svm ) was used to predict the splicing sites. through machine learning, a model was built on some test data set of true and pseudo splicing sites

    根據真核生物內含子在剪切位點前後存在保守堿基的特徵,用支持向量機技術構建分類器模型,有效地在基因組序列中剪接位點, 3位點87 . 96 ,在5位點達85 . 41 。
  17. Meanwhile, we present the method of designing multi - class classifier. to solve the problem of some images ’ poor quality, we give the standard to estimate the performance of utterance rejection method : utterance rejection accuracy and recall rate. and we bring forward the utterance rejection method based on voting threshold and analyze the performance of our algorithm

    為了比較svm的性能,本文也採用了基於混合高斯模型的車牌字元演算法,給出了基於gmm的分類器的訓練和的演算法,提出了基於概率密的拒演算法,並就率和拒性能與svm進行了比較。
  18. And that system has a great help especially for the safeguard and solving cases. aimed at advancing the speed of extracting the key characters, improving the veracity, cutting down the cost of time and space, this task put forward a new template thinning algorithms after analyzing the principle, disadvantages and advantages of many thinning methods including condition thinning, template thinning and thinning in morphology maths. this algorithm with good collection has less thin - hair, and avoid excessive erosion

    為了使計算機時能很快的提取關鍵特徵,提高,減少時空耗費,本課題在分析了多種傳統的條件細化、模板細化、形態數學上的細化等多種細化方法的原理和優缺點后,提出了一種新的模板細化演算法,該演算法毛刺較少,避免了過的腐蝕,同時具有良好的連通性。
  19. The simulation and application results show that the performance of the proposed method has so many advantages such as simple structure, quick convergence and high aggregate classification rate, that it can be applied in on - line detection and analysis of control chart

    模擬結果和實際應用表明:該方法結構簡單、收斂速快,率高,能夠滿足控制圖在線檢測和分析的需要。
  20. We have done experiments for attaining adaptive recognition algorithm and proposed the scheme of correlation coefficient ( cc ) as the optimum recognition algorithm pattern recognition for volume holographic image - base built by both angular multiplexing technology holographic storage technology were implemented by using cc method

    基於該模板對相關峰進行定位,使用相關系數對採用角復用技術建立起來的體全息圖像庫完成了工作。統計了率和
分享友人