識別率得分 的英文怎麼說
中文拼音 [zhìbiélǜdefēn]
識別率得分
英文
discrimination scores- 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
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 識別 : 1 (辯別; 辯認) discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
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For this purpos, from the point of the log geology, aimed at the actuality of the current fractured reservoir log geology interpretation and evaluation, based on synthetical analysis of the current domestic and foreign fruit of fractal dimension investigation of reservoir fracture, using the method and technique of fractal dimension, through the further discussion of the fractal dimension characteristics of m index and n index in the log interpretation archie model in a sample way and through the theoretic reasoning to the fractal dimension dfa and m index of fractured reservoir interval ' s log curve, according to the geophysical signification of the fractal dimension dfa of fractured reservoir interval ' s log curve shape : the more complicated the change of the curve shape is, the larger the its dfa value is, then the more complicated space structure of fracture and pore, then the higher value of m index of space structure of fracture and pore, and so on, the text propounds an improved method, based on box dimension, of covering log curve with scale grid, and by programming computes the dfa and its m index value of fractured reservoir interval ' s log curve, for instance, ac and rt curve, ect, then further puts this technique into application investigation, and makes analysis of application effects in the reservoirs located in l area of qx oil field from three aspects : 1. the dfa and its m index value of fractured reservoir interval ' s log curve, for instance, ac and rt curve, ect, which are derived from computing, is used to identify reservoir type by crossplotting m index with the product df _ acrt of fractal dimension of acoustical wave log curve and restivity log curve and by experiential discriminance plate of reservoir type in l area of qx oil field
因此,對該區裂縫性儲集層的類型識別、孔滲特徵的測井地質解釋以及儲層裂縫的發育和分佈規律進行深入的研究便成為本文研究的出發點。為此,本文從測井地質的角度,針對當前裂縫性儲層測井地質解釋與評價的現狀,在綜合分析當前國內外儲層裂縫的分形分維研究成果的基礎上,利用分形分維方法和技術,通過對archie測井解釋模型中的m指數、 n指數的分形分維特性的深入淺出的論述以及裂縫性儲層段測井曲線分維d _ ( fa )與m指數的理論推導,根據裂縫性儲層測井曲線形態分維值的地球物理意義? ?曲線變化越復雜,則其分維值d _ ( fa )越大、裂縫孔隙空間結構越復雜、裂縫孔隙空間結構指數m值越高等特徵,提出了改進的基於盒維數的測井曲線網格覆蓋法,編程計算了裂縫性儲層段常規測井曲線(如聲波和電阻率曲線)上分形分維值及其m指數值,進而從以下三個方面對qx油田l區塊的裂縫油藏進行應用研究,效果十分理想: 1將計算得到的可變的m指數與聲波和電阻率分維之積df _ acrt進行交繪,採用儲層分維值分類技術統計分析這些參數變化的規律,並結合qx油田l區塊儲層類型經驗判別圖版,從而實現qx油田l區塊下白堊統的裂縫性儲層的類型識別。Then the thesis presents a probabilistic viterbi algorithm to segment address block and gets the character. finally, after independent chinese characters are recognized and fitted with address database, we get the address. in this way, automatic recognition of envelope ' s address is realized
對得到的地址塊提出了一種利用概率型viterbi演算法進行字元切分的方法,最後將切分好的單個字元進行識別,並與地址數據庫進行匹配,從而得到地址,進而實現了信封地址的自動識別。It is difficult to recognize the character directly in original image because the original image has big dimensions, which need big memory, and at the same time, there are many disturbed areas in the image. however, if we can locate license plate and segment character precisely, thus the capacity of storage can be reduced and the disturbance can also be avoided, and so the character will be recognized accurately, which can ultimately improve the efficiency and precision of the recognition system
這是因為由攝像機得到的原始圖像尺寸較大,所需存儲空間較大,又有眾多的干擾區域存在,在圖像中直接對車牌字元進行識別是十分困難的,如能準確定位車牌區域和切分字元,可以減少存儲容量,避免干擾,進行準確的字元識別,從而提高整個識別系統的工作效率和識別精度。( 3 ) the author applied wavelet analysis in the data processing of airborne radioactive survey, and analyzed the effect of wavelet used in spectrum data processing, line data processing and region data processing. the author had proved that the wavelet used in spectrum data processing can gain more true and more ideal information than traditional data processing method, and can accurately identify information which is beyond main energy windows by practice data. the author considered it is effective to extract abnormal information when the wavelet used in line data processing, and it is effective to eliminate the belt of airborne radioactive survey data when the wavelet used in region data processing
有效的融合了遙感航測信息,提高了工作效率; ( 2 )根據光學有關物理性質,製作的模擬反射率圖,囊括了tm數據七個波段的信息,使得圖像質量、地物解析度得到了提高; ( 3 )在航放數據處理過程中引入了小波分析,系統分析了小波在處理單點數據、測線數據、測區數據的應用效果;用試驗數據證明了小波處理單點數據可得到較傳統數據處理方法更為真實、理想的譜數據,能準確的識別主能量窗以外的信息;認為處理線數據,可以提取埋藏於噪音中的異常信息;處理測區數據,對消除航放數據的條帶有一定的效果。This dissertation is the expanding of the military project of ‘ 95 ’ advance research, a novel multi - modulation technique designing radar signal waveform is introduced on the links with the project of the national natural science fundation of china ( nsfc ), named " produce and process the multi - modulation signal of the sensor with strong detectability and identifiability ". based on the analysis of the equal - probability - distributing fsk / psk multi - modulation signal, we construct a new pseudo - random fsk / psk multi - modulation signal and we design and simulink on the computer the partly - matched processing signal of this signal. the purpose of the design is to construct a processing signal to combine with the pseudo - random fsk / psk multi - modulation signal, so that we could get a strong response of the target
本論文是『九五』軍事預研項目「低截獲概率雷達波形研究」的擴展與深入,同時結合國家自然科學基金項目「強探測強識別傳感器新型復合調制信號產生及處理」展開。在分析等概率分佈的fsk / psk復合調制信號的基礎上,構造了一種新的偽隨機fsk / psk復合調制信號及其非完全匹配處理的設計及模擬。設計的目的是能對偽隨機fsk / psk復合調制信號進行處理的處理信號,以期獲得對所探測目標信息的強探測。Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors
對于文本字詞錯誤的檢查,本文主要利用了字詞二元接續關系,根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查,本文利用教研室已有的一個大規模語料庫,通過對語料庫進行統計分析,獲得語法查錯所需要的語言規律和知識,利用謂語中心詞識別和其他句子成分識別的方法,檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查,本文主要利用知網知識得到語義依存樹,通過對句子的有效搭配對的相似度計算檢查語義錯誤。Thirdly, comprehensive attribute method and risk coefficient are used to comprehensively evaluate the risk of the three sites so as to identify key risk factors and evluate the whole risk probability. fourthly, optimal scheme is selected via comparing schemes of the three plant sites through using investment model based on maximum shannon rule. lastly, measures to monitor and control risk consisting in this project are analyzed
在對該項目三個備選廠址的風險識別的基礎上,利用極大熵準則對各廠址存在的風險進行估計,得出各風險發生的概率,然後利用綜合屬性度法和風險系數對各廠址存在的風險進行綜合評價,找出了關鍵風險,並得到了該項目的整體風險水平,進而通過基於極大熵準則的大型工程投資決策模型對該項目的廠址選擇方案進行決策,選出了最優方案,最後,分析了該項目中存在的風險的應對監控措施。We have successfully designed an experiment system for the no invasion blood pressure measurement with our own ip. in our research and develop task we have done a lot work to study foreign instrumen and design ideas. this experiment system is based on msp430 series mpu with excellent erformance and applies advanced digital signal process and intelligent technology. in hardware design, the following means were applied : after a lot of experment and fully knowing about the characteristic of the pulse wave signal, we have designed the accurate and credible circuit to collect the pulse wave signal ; power circuit, communicaion circuit, power drivers circuit have been disigned for the instrument. in software design, the following arithmetic were applied : 1
軟體方面進行了以下演算法研究: 1 .綜合試驗各種數字信號處理方法對波形進行平滑處理: 2 .採用lms自適應方法對脈搏波信號進行了降噪處理; 3 .應用微分閉值法提高了脈搏波信號的檢出率,有效識別了運動干擾引起的偽波信號; 4 .利用測振法基本原理並進行大量實驗的基礎上,提出了比較準確可行的收縮壓和舒張壓的識別演算法,使測振法在本無創血壓儀中得到了完整而充分的應用。At last, it is the part of dealing with the data is gained in experimentation. we have made the experimentations in songhua lake. in the paper, i analyze and deal with the primal data of eradiate noise to get the ratio of recognition and make a conclusion that the feature extraction arithmetic and classifier arithmetic are efficient
本文利用兩次松花湖湖泊試驗所采哈爾濱工程大學碩士學位論文集的船舶輻射噪聲數據進行分析處理,為了驗證模糊融合分類器的分類性能,依據具體情況做了兩個分類試驗,給出各自具體的識別率,並由此得出了相應的結論,即本文所選取的特徵提取和分類器演算法基本上是有效的。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 % 。In order to overcome the weakness of conventional segmentation algorithm in ocr, this paper presents a new segmentation method for gray document image
摘要字元切皆目前已經成為限制ocr技術發展的瓶,對于圖像質量較差、中英文混排和背景色變化的文本圖像,傳統切分方法造成的切分錯誤使得文字識別率大大降低。With the flourishing development of the microelectric technique and technology of computer and appearance of the high - efficient number value computational tool represented by matlab. get the fast development, thus the problem that solve the human physiology organ and ca n ' t be discerned in recognition technology of the picture
隨著微電子技術及計算機技術的蓬勃發展和以matlab為代表的高效數值計算工具的出現,圖像識別技術得到快速發展,從而解決人類生理器官不能識別的問題,部分代替了人的腦力勞動並提高生產效率。An attribute means clustering binary tree is presented in this paper. the binary tree is extends naturally and turns to be a supervised classification method. the orl database is used to evaluate the proposed method. the performance of the attribute means clustering binary tree used in face recognition is compared with the standard eigenface approach and improves their performance much in the experiment
在無監督的屬性聚類網路的基礎上,提出了一種二叉樹分類方法。此二叉樹自然地在無監督聚類的基礎上擴展開來,成為一有監督的分類方法。用orl人臉數據庫做了測試,同標準的特徵臉eigenface方法相比,識別率得到了較大的提高。Two spatially registered images with different focuses are decomposed into several blocks. then, three features reflecting the clear level of every block, i. e., spatial frequency, visibility, and edge, are calculated. finally, artificial neural networks, i. e., multilayer - perceptron, radial - basis function, probabilistic neural network, are used to recognize the clear level of the corresponding blocks to decide which blocks should be used to construct the fusion result
具體實現過程概述如下:首先將兩幅(或多幅)配準圖象進行分塊處理,提取兩幅圖象中對應塊的能反映圖象清晰度的三種特徵,即空間頻率、可見度和邊緣,將特徵歸一化後送入訓練好的神經網路進行識別,根據得到的結果依據「誰清晰誰保留」的原則構成融合的圖象。Based on the modal analysis data of the displacement of the spatial grid structure getting by the structural finite element analysis software ansys, the modal analysis technology of the axial member straining rate is used to identify the damage of the spatial grid steel structure in different damaged conditions and is found to be able to accurately position the damaged places of the spatial grid member
文中通過結構有限元分析軟體ansys得到網架結構位移模態分析數據,採用桿件軸向應變變化率的模態分析技術針對不同損傷狀況的鋼結構網架進行損傷識別,能夠較為準確地診斷出網架桿件的損傷位置。Advanced fpga technology is introduced to improve the integration of digital circuits, and all digital circuits in the original module are integrated in the fpga chips, which could not only reduce the cost, but also improve the reliability and measurement precision of the circuits. high speed digital signal processor ( dsp ) is selected as the coprocessor instead of scm ; it can receive all kinds of commands sent from vxi, analyze and execute the commands, harmonize each section of the module and process the data. higher - conversion - speed comparator chip is adopted to convert the input signals being measured into square waveform signals which could be identified by fpga chip ; it can expand the measurement range of frequency dramatically
本文在原有vxi總線四通道計數器模塊的設計基礎上,通過對原模塊缺陷的分析,採用一些新的技術和新的電子器件來重新設計該計數器模塊:採用最新的fpga技術來提高數字電路的集成度,將原模塊中的所有數字電路全部集成在fpga晶元中,這樣不僅能節約成本,還能提高電路的可靠性和測量精度;採用高速的數字信號處理器( dsp )取代原有的單片機作為協處理器,來接收vxi發來的各種命令,分析命令、執行命令、協調模塊各部分的工作以及對數據的處理;採用轉換速率更高的比較器晶元將輸入的被測信號轉換為fpga晶元能夠識別的方波信號,能極大提高測量頻率的范圍;採用d / a轉換晶元和隔離運算放大器得到隔離通道所需的比較電平,該比較電平值能夠根據實際需求進行設置,能增強模塊的使用靈活性。On the basis of finite element modal analysis and experiment modal analysis, parameters identification is done and the inherent frequencies and modal shapes are obtained
利用有限元模態分析和實驗模態分析進行參數識別,得出了固有頻率和模態振型。Two standard databases from yale university and olivetti research laboratory are selected to evaluate the recognition accuracy of the proposed method. the correct recognition rate of 100 % is obtained with the orl database and yale database in all the experiments when we choose only one sample for each person. the result is better than those of other literatures
我們分別對三種圖象庫進行實驗研究,在orl人臉圖象庫、 yale大學的人臉圖象庫以及南京理工大學人臉圖象庫nustfdb上只取一幅圖象訓練分別得到100 、 100和94的識別率。The 1 - dimension was decomposed by harr wavelet in depth of 2 - layer, then we could construct a characteristic information from the low frequency part of the wavelet coefficients and compare it with the corresponding information of the standard characters, this led to a rapid and efficient character recognition. the total experimental character recognition rate was above 92 %
將投影得到數據進行2層小波分解,從其中各層平滑分量提取一個特徵信息,將其與模板字元對應的特徵信息進行分析比較,實現了字元的快速高效識別,識別率達到92以上。After analyzing the result of the experiment and the feature for text - independent recognition, we make a solution to the defects of the system. then long - time spectrum parameter and lpcc or mfcc are blended to be studied in detail to make the feature parameter. using these technologies, a high recognition rate was made
針對單獨使用lpcc或mfcc應用於說話人識別中存在識別率還不夠高的問題,分析了原因,然後又對長時頻譜特徵進行了研究,並把長時頻譜特徵分別與lpcc和mfcc結合起來共同應用於說話人識別試驗,從而在一定程度上減少了單獨使用lpcc或mfcc運用於說話人識別中存在的問題,提高了系統的識別性能,取得了較好的效果。分享友人