選型識別 的英文怎麼說

中文拼音 [xuǎnxíngzhìbié]
選型識別 英文
assortative recognition
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 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）
  • 選型 : lectotype
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Under the strategic m & as, the merging company can identify significant features of the target company, therefore lessen the circumscription of search ; after completion of first selection of target company, the merging company should analyze its fundamental information carefully ; moreover, as open messages of listed - company, financial statements should be analyzed carefully too. though principal components analysis the merging company can evaluate the operating result of the target company so synthetically as to master its operating condition precisely

    在戰略性並購中，主並公司可以利用logistic模型識別出目標公司的顯著性特徵，從而縮小搜索范圍；完成目標公司的初選后，對其基本情況作詳實的分析，此外，財務報表作為上市公司對外公開的資料，也作了重點分析；利用主成份評價方法可對目標公司經營業績進行綜合評價，更能準確地掌握其經營狀況。
  2. Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features

    本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。
  3. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  4. Secondly, the steps of the glass ' s image processing are discussed in detail. based on the experiments and the characteristics of interference fringe, we pre - process the images with median filter and image segmentation with dynamic threshold. after marking and thinning the resulted fringes, we analyze linearly the unifor mity of product ' s samples with the characteristics of the framework

    然後，結合檢測系統中玻璃干涉圖像處理的任務，詳細介紹了處理的各個步驟：通過實驗比較，並結合干涉條紋圖像的特點，選擇中值濾波、動態閾值分割等技術對圖像進行預處理；然後對獲得的二值條紋進行標記、細化，提取條紋骨架；最後，用骨架的特徵進行線性分析，識別條紋的類型，判斷玻璃樣品的均勻性。
  5. Utilising dissolved gases analysis, a new insulation fault diagnosis method for power transformers is proposed. this method is based on the group grey relational grade analysis method. first, according to the fault type and grey reference sequence structure, some typical fault samples are divided into several sets of grey reference sequences. these sets are structured as one grey reference sequence group. secondly, according to a new calculation method of the grey relational coefficient, the individual relational coefficient and grade are computed. then according to the given calculation method for the group grey relation grade, the group grey relational grade is computed and the group grey relational grade matrix is structured. finally, according to the relational sequence, the insulation fault is identified for power transformers. the results of a large quantity of instant analyses show that the proposed method has higher diagnosis accuracy and reliability than the three - ratio method and the traditional grey relational method. it has good classified diagnosis ability and reliability

    基於變壓器油中溶解氣體分析，提出了一種基於群灰色關聯度分析的變壓器絕緣故障診斷新方法.首先根據故障類型與灰色參考序列構造，選擇變壓器典型故障樣本構造多組參考序列，這些參考序列組構成一個灰色參考序列群.其次根據給出的新的關聯系數計算方法，計算個體關聯系數和關聯度.然後根據給出的群灰色關聯度計算方法，計算群灰色關聯度和構造群灰色關聯度矩陣.最後根據關聯序識別變壓器絕緣故障診斷.通過大量變壓器絕緣故障診斷實例分析，所提方法診斷準確性與可靠性優於三比值法和傳統的灰色關聯分析方法，具有較好的分類診斷能力和可靠性
  6. Since there is few core data and logging data in this area, the lian - 150 well is selected as the standard well that has imaging logging data which is combined with few core data to establish the fracture identified mode with bp neural network and gray system theory. it makes the satisfied effect of the muti - well interpretation and solves the problem of the absence of the exceptional well data and the difficulty of fracture identification

    本論文在該地區巖心資料少，測井資料不全的情況下，選取有成象測井資料的聯150井作為標準井，運用成象測井資料結合少量的巖心資料建立起該地區bp神經網路和灰色系統理論裂縫的識別與評價模型，用於該地區的多井解釋取得了滿意的效果，解決了該地區特殊測井資料缺乏、裂縫測井識別較難的現狀。
  7. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  8. This study made a conclusion ? amely in order to realize following the geological target while drilling, on the basis of making a better geological and drilling design for horizontal well, we must make full use of mwd, lwd and integrate logging to carry out lithfacy identifying in real time, the lwd interpretation and formation evaluation, to set up geological model of target formation, to select geosteering marked formation and compare simulative curves with lwd curves f to fix on the drilling direction of bit upper and declination, the position in target oil - gas layer, to revise borehole track in real time, to make it extend in reservoir better interval as possible

    研究認為，在做好水平井地質設計和鉆井設計的基礎上，要實現隨鉆跟蹤地質目標鉆井，必須充分利用隨鉆測量、隨鉆測井和錄井等資料，從實時巖性識別、隨鉆測井解釋和地層評價、目標層地質模型建立、導向標志層的選取及模擬曲線對比等方面入手，確定鉆頭上下傾鉆進方向及在目標層中的位置，以實時調整井眼軌跡，使其盡可能在儲層物性較好的部位延伸。
  9. The problem of obtaining multiple candidate spellings in chinese speech recognition is studied in this paper. a method is proposed to choose multiple candidate spellings making use of linguistic knowledge and the candidate - selecting algorithm adopting n - gram model of spellings is deduced. this method shows very good performance in the experiments

    本文研究了漢語語音識別中的拼音多候選問題，提出了引入語言知識后的一種拼音多候選選擇方法，並給出了採用n元拼音文法模型時的候選選擇演算法.實驗表明，該方法取得了很好的效果
  10. Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information

    本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。
  11. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  12. 2. nonlinear source term identification problem about a quasilinear parabolic heat equation is investigated. for the given function determined, the existence and the uniqueness of the solution of the state equation are proved and the dependence of the solution of the state equation on the identification parameter is discussed ; then the identifiability is verified ; through choosing suitable basic functions, the above identification problem can be transformed into a constant coefficients identification problem ; and an practical iterative algorithm for solving the identification problem is presented, the feasibility and validity of the algorithm is verified by the numerical experiments

    2 、研究一擬線性拋物型熱傳導方程非線性未知源項的識別問題；對于給定識別函數，論證了狀態方程解的存在惟一性、方程解與識別函數的依賴關系和可識別性；通過選取適當的基函數，把對非線性源項的識別轉化成常系數識別問題；給出了實現非線性源項識別的迭代演算法，通過數值實驗證明了演算法的有效性。
  13. 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。
  14. Genetic algorithm, as a computational model simulating the biological evolution process of the genetic selection theory of dar - win, is a whole new global optimization algorithm and is widely used in many fields with its remarkable characteristic of simplicity, commonability, stability, suitability for parallel processing, high - efficiency, and practibility. on the other hand, there are many op - timization problems in the field of digital image processing, such as image compression, pattern - recognition, image rectification, image segmentation, 3d image recovery, image inquiry, and or so. in fact all these problems can be generalized as the problem of searching for a global optimal solution in a large solution space, which is the classic application field of genetic algorithm

    遺傳演算法是模擬達爾文的遺傳選擇和自然淘汰的生物進化過程的計算模型，是一種新的全局優化搜索演算法，具有簡單通用、穩定性強、適于并行處理以及高效、實用等顯著特點，在很多領域得到了廣泛應用，另一方面，在圖像處理領域有很多優化問題如圖像壓縮，模式識別，圖像校準，圖像分割，三維重建，圖像檢索等等，實際上都等同於一個大范圍搜索尋優問題，而最優化問題是遺傳演算法經典應用領域，因此遺傳演算法完全勝任在圖像處理中優化方面的計算。
  15. The article introduces the basic concepts and common methods of fuzzy mathematics, initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits, classification of rock drillability, and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory

    初步探討了以下幾方面的應用： 1 ）用隸屬度劃分金剛石鉆進「打滑」地層； 2 ）綜合評判在金剛石鉆頭評價、巖石可鉆性分級及鉆探造漿粘土評價中的應用； 3 ）用模糊聚類分析進行「硬巖石」分類； 4 ）用模糊數進行鉆孔竣工時間預估及地下水質評價； 5 ）模糊模式識別在新礦區類型識別和最佳水源地選擇中的應用； 6 ）模糊相似選擇及其改進演算法在金剛石鉆頭選擇和油田開發方案評價中的應用； 7 ）模糊控制在泥漿性能和礦坑涌水量預測中的應用； 8 ）優化理論模型在金剛石鉆頭和深基坑支護方案綜合評價中的應用。
  16. According to the study on the resolution of the equipment for coal ore dressing based on the transmission of bi - energy - rays for a long time, it was provided that the resolution could be improved by selecting the mathem atical model, discerning mode, and the width of high and low energy windows

    摘要通過較長時間的實驗研究，指出處理數據的數學模型，判斷結果的識別模式，採集信號通道窗孔的設定是設備儀表系統關繫到設備分選率的幾個主要方面，只要綜合考慮源強，儀器的溫度漂移特性，適當選擇數學模型、識別模式和窗口位置及寬度，可以大大增強判斷的準確性，提高分選率。
  17. The bp neural network is applied to the recognition of wear particles, and a bp neural network sorting system expected to recognize severe wear particle, cutting wear particle, normal wear particle and fatigue wear particle is designed and trained. 6. the function of the neural network ' s hidden layer is analyzed

    將神經網路應用於磨粒識別，設計磨粒分類器，在網路學習中運用改進的bp模型，識別嚴重滑動磨損磨粒、切削磨粒、正常磨損磨粒和疲勞點蝕磨粒，隨機選取50個樣本對分類器進行訓練。
  18. Automatic cut detection in the video domain genre recognition or automatic creation of digital video libraries are key topic addressed by researcher

    自動視頻內容分割、視頻類型識別、自組織的視頻庫都是研究者的首選方向。
  19. Tab displays the list of itemsets that the model identified as frequently found together

    選項卡顯示被模型識別為經常發現一起出現的項集的列表。
  20. Secondly, it describes the main expression in financial risk that macro - finance field and micro - management main body are faced with. at the same time, it gives a deeply analysis of the generating and conducting mechanism in financial risk. at last, it emphatically constructs the system of monitoring and early warning in financial risk including the selection and recognition of financial risk ' s early warning targets, magnanimity model of risk and installation of warning conduction. furthermore, it advances rationalization proposal

    首先對金融風險的涵義、基本特徵和國際上金融風險相關理論作了簡單介紹；其次，描述了我國宏觀金融領域和微觀經營主體面臨的金融風險的主要表現，並對金融風險的生成機理和傳導機制進行了深入剖析；最後，著重構建了包括金融風險預警指標的選擇、識別和風險度量模型、警示傳導設置在內的金融風險監測預警系統並提出合理化建議。
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