正好識別 的英文怎麼說

中文拼音 [zhēnghǎozhìbié]
正好識別 英文
exactly identified
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 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）
  • 正好 : 1 （恰好） just in time; just right; just enough 2 （碰巧） happen to; chance to; as it happens 3...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Following the research route of mend with study and development with creation, give the definition of risk and the methods of risk identifying, divide the risk attitude into risk loving, risk neutralism and risk avoiding, point out the importance of enhancing the risk consciousness for lightning hazard, and summarize the mechanisms of lightning hazard the theories and methods of risk assessment for lightning hazard. provide a set of risk assessment parameters for lightning hazard, which includes lightning times n, hazard probability p, hazard loss d, hazard risk r and protection efficiency e, and give the definition, decisive factor, value method and value scope of each parameter. establish a risk assessment model for lightning hazard which includes lightning hazard base module, lightning hazard probability module, lightning hazard loss module, lightning hazard accepted risk module, lightning protection cost module, correcting coefficient module, lightning hazard risk module, and lightning protection class and efficiency module

    遵循借鑒改造和發展創新的研究思路，給出了風險的定義和風險識別的方法，將風險態度分為風險喜好型、風險中庸型和風險逃避型，指出了提高雷電災害風險意識的重要性，總結了雷電災害的作用機制和雷電災害風險評估的理論與方法；提供了包括雷擊次數n 、雷災概率p 、雷災損失d 、雷災風險r和雷電防護級別與防護效率e等5類基本參數的雷電災害風險評估參數體系，並給出了各個參數的定義、參數的決定因素和取值方法以及取值范圍；設計了包括雷電災害基礎模塊、雷電災害概率評估模塊、雷電災害損失評估模塊、雷電災害允許風險評估模塊、雷電防護成本評估模塊、校正系數模塊、雷電災害風險評估模塊、雷電防護級別與效率分析模塊等8個模塊的雷電災害風險評估模型，評估模型以iec61662的評估模型為基本參考，以雷災損失d為中心，把雷災風險劃分為經濟雷災風險r _ e和人身雷災風險r _ l ，並對r _ e和r _ l分開單獨處理。
  2. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  3. In the second part ( including chapter 4 ), this paper applies gray level coocurrence matrix and image texture feature quantities to evaluate eliminate effect through computing the same sampling region selected. the results show that the three methods can eliminate solar eclipse impact on the satellite vis imagery so that the topography, cloud system texture and ocean current are distinct and differentiable and it is good for analyzing the clouds and weather systems on the cloud image. comparing the three methods, the improved geometry - model method is the most effective

    研究結果表明：原幾何模型法、改進的幾何模型法和數學函數模型法基本都能消除日食對雲圖的影響，經過訂正處理后，各種特徵紋理變細，結構變清晰，信息增加，有利於雲圖上雲和天氣系統的識別和分析；三種方法的比較認為，改進的幾何模型法訂正效果最好，原幾何模型法的效果較差，數學函數模型法更加快速、簡便，但其涉及的主觀因素較多。
  4. And it is proved to be a good instrument for classification and forecasting in practice application just for it ' s model identification ability

    正是神經網路的模式識別能力使得它在實際應用中成為一種良好的分類和預測工具。
  5. A general stack equation of mobile robot based on analyzing the motion of planar motion object and the mathematical models of four different kinds of common wheels is developed, accordingly, the mobility of mobile robot is addressed and the forward and inverse solutions to speed for specific configuration driven by differential speed are derived. utilizing the muir and newman convention, the description of the posture transformation matrices between different coordinate frames and the solution for the speed of point located on these frames are introduced. according to posture estimation, a more accurate method, dead reckoning algorithm, is developed for a specified configuration characterized by differential speed motorization, and simulations of this algorithm and other traditional methods are carried out using matlab while traversing a circular path

    本文對兩輪差速驅動移動機器人的運動學及其本體緩沖設計進行了探討，在對平面運動物體運動分析的基礎上結合四種常用車輪的數學模型，推導出了一個通用的移動機器人堆積方程，在此基礎上分析了移動機器人的移動能力、並針對兩輪差速構型推導了速度正解與逆解；使用muir和newman的運動學建模方法，推導了移動機器人上點及連桿坐標系位姿、速度變換關系矩陣及求解方法；在移動機器人位姿識別方法中結合差速驅動構型對航位推演算法進行了分析：推導了一種理論精度較高的航位推算演算法，並使用matlab對其與傳統的推算演算法在跟蹤圓弧軌跡情況下進行了模擬；最後針對本文所研究的機器人給出了一種比較系統、可靠的緩沖結構設計思路，較好地解決了移動機器人作業過程中外界因素及本身設計中引入的各種不確定誤差問題；本論文研究成果已在本實驗室所開發的樣機上得到實現，經過應用與考核證明其中的分析與設計是切實可行的。
  6. In the compiled system, the paper describes symbolic structure of the siprom language word with regular expression. based on the fa theory, this paper presents a lexical analysis method by using morphology table. after comparing some common syntax analysis methods, this paper choosing the lr ( 1 ) analyzer

    在編譯部分，本文用正規表達式描述了siprom語言單詞符號的結構，利用有限自動機原理，提出了用構造詞形表的方式來識別單詞的方法，使詞法分析程序具有很好的開放性。
  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. The study of this paper indicates that, the combined binarization method can keep details well and tolerate the abominable state ; the method to estimate skew angle based on radon transformation is very exact, and the distortion of corrected image is also very little ; the vlp location method based on wavelet analysis and intensity moment has a high location exactness and a soon processing time ; and intelligent character recognition machine can accomplish the function of self - adaption, self - correction, self - study, etc

    本文研究表明：混合二值化方法能較好的保留圖像細節，抗噪聲能力強；基於radon變換估計傾斜角度的方法檢測角度精確，校正後圖像失真較小；基於小波分析和亮度矩的車牌定位方法定位準確率高，速度快；仿人智能字元識別器則能實現識別字元過程中的自適應、自校正、自學習功能等。
  9. The features of the products include product limits ( crest only produce oral cavity products ), product property ( vogue is a magazine on fashions ), quality and value ( ? ? high - quality products ), applied condition ( subaru was designed only for snowy day use ) ; and functional profit ( wal - mart supplies value - excessed service ). brand not only covers all these features but also has more characters ; the image of users ( those who wear ? ? ) ; original place of production ( audi was made in germany ) ; organizational association ( 3m is an innovative company ) ; brand properties ( bath and body works is a vigorous retail brand ) ; symbols ( the carriage sign of t ? ? ? ? ? ? dd ) ; the relationship between brand and

    品牌形象的威力，你只要觀察一下為什麼質量最好、功能最佳的產品不一定賣得最好，就會從中得窺一斑，感懷也好，遺憾也罷， 「酒香不怕巷子深」的年代已經一去不復返了。本文以匯源果醋品牌建設為個案，闡述了品牌識別的不同種類，品牌建設的流程以及品牌推廣，希望能給那些正在或即將實施品牌建設或品牌更新的企業一個借鑒。
  10. 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。
  11. Her language is singularly agreeable to me, and the information she communicates is often just what i wished to gain.

    她的話會特別叫我喜歡，她傳授的知識往往正好是我希望得到的。
  12. Future advances in the field will rely on the improved identification of functional antibody targets to perturb cancer - relevant signalling, and by the improved selection of tumours that can be effectively treated

    該領域的進一步發展將依賴于那些可以擾亂腫瘤相關信號的正常抗體靶位的進一步識別，以及進一步選擇那些可以被較好治療的腫瘤。
  13. All the parameters are synthesized into a synthetic function, which is the core of the mfsda. if the value of the synthetic function is under the validation gate, the correlation comes into existence. use mfsda the correct association rate is high and mfsda also provides a new idea in colligation of azimuth and attribute parameters

    它利用無源傳感器探測的高精度的屬性信息，將其與方位角一起作為關聯的依據，並充分利用歷史推理結果，將識別推理與屬性關聯有效的結合，提高了屬性關聯的正確率，也為屬性信息與方位信息的結合應用提出了一條好的思路。
  14. 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。
  15. There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db

    它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。
  16. First of all we discuss the model of information purifying and bring forward the methods of setting up the according fuzzy set and subject function. secondly after analyzing the traditional technology and the strongpoint and the shortcoing of information purifying we improve it combining with the technique of fuzzy mode identifying, data warehouse, cache etc. and we can perpetrate an on - line and synchronous purifying through analyzing the text and picture showing in the pages of network. finally, we choose sql server 2000 to design the url database and delphi, wingate as the tool for system development to develop an efficient system of information purifying which can keep the network consumer especially young student apart from the intrusion of unfriendly information and make the environment of network pure and fine

    本文首先探討了該系統中的信息「凈化」模型，提出了模型中的模糊集及隸屬函數的構造方法；然後分析了傳統的信息「凈化」技術及其優缺點，結合模糊模式識別、數據倉庫、高速緩存等技術對傳統的信息「凈化」技術進行了改進，改進后的信息「凈化」技術可通過分析正在顯示中的網頁文字、圖片內容，做即時、同步性的網頁內容篩選；最後，利用sqlserver2000設計了url數據庫，選擇delphi 、 wingate作為系統開發工摘要具，設計開發了一種高效的網路「凈化」器，使網路用戶尤其是青少年學生遠離非友善信息的侵擾，讓網路環境更加純凈、美好。
  17. Lastly, it analyses the management methods of credit risk, market risk and operation risk of our commercial banks : in the section of the credit risk, it begins with risk recognition, introduces the difficulties of establishing the internal ratings - based approach of our commercial bank and puts forward the management thinkings from the five respects : the setup of irb, credit culture establishment, the modification of information announcement, the innovation of credit management tools and improvement of the capital adequate rate. in the section of market risk, it introduces the reason of strengthening its management of the whole world and our country, analyses the most important method - var and then discusses its operation inour country commercial banks. in the section of the operation risk, it defines the internal meaning, analyses the different measure means, points out current pressure of our commercial bank ' s facing and finally proposes the rightful operation risk management tactics combining the actual situation of our country

    首先是對新協議本身的研究，介紹了巴塞爾協議的邏輯演進、新協議的主要內容及主要特徵；其次從最低資本要求、監督部門的監督檢查和市場約束三大支柱入手，分析新協議對我國商業銀行風險管理可能產生的不利影響；最後分析了新協議框架下我國商業銀行信用風險、市場風險和操作風險的管理思路：信用風險部分從對其的識別分析入手，介紹了我國商業銀行建立內部評級法的必然性，最後從內部評級體系的構建、良好信用管理文化的建立、信用風險的信息披露改進、信用管理工具創新和提高資本充足率、構建統一的風險管理組織結構六個方面提出了我國商業銀行信用風險的管理途徑；市場風險部分介紹了全球以及我國加強其管理的原因，對當前市場風險管理的主流方法? ? var方法進行了詳細的闡述，並進而對var方法應用於我國商業銀行市場風險管理中的若干問題進行了探討；操作風險部分在正確界定其內涵的基礎上，重點分析了各種計量方法，並指出現階段我國商業銀行加強操作風險管理的緊迫性，最後並結合我國的實際情況提出了合理的操作風險管理策略。
  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 integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better

    入侵檢測工作屬于分類識別問題，其中存在著大量的非線性問題，對入侵檢測資料進行綜合分析與分類，準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理，因此研製理想的非線性整合處理方法是非常必要的，而神經網路由於其內在的對不確定性的學習與適應能力，恰好能滿足入侵檢測工作分類識別的需求，另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因，它將信息分散式存儲于連結權系數中，使網路具有較高的容錯性和魯棒性。
  20. Fractal neighbor distance gives a quantitative measure of the input - output characteristics of the fractal code of an encoded image. the fundamental mechanism behind this recognition scheme lies in the uniqueness of the attractor of a fractal code. the attractor has the invariance to image translation, rotation, scaling and illumination

    分形鄰距是針對進行了分形編碼的圖像而定義的一種圖像間相似度的測距方式，它具有編碼的吸引子唯一不變性的特點，因而對旋轉、縮放、平移以及光照都有不變性，這樣可以很好實現正確識別。
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