有識別力的 的英文怎麼說

中文拼音 [yǒuzhìbiélìde]
有識別力的 英文
discerning
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 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）
  • 力 : Ⅰ名1 （力量; 能力） power; strength; ability; capacity 2 [物理學] （改變物體運動狀態的作用） forc...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. The laboratorial results show that this algorithm can improve the antinoise ability of object recognization, especially for the covered objects

    實驗結果表明，利用該演算法可以提高目標識別的抗噪能力，尤其適用於有遮擋目標的識別。
  2. Can distinguish clearly and identify red, yellow, green, blue, violet each sheet is planted color is to be not affected pursue money meeting, management kind, machinery of sports, computer makes those who wait for major, that is to say machine tool go up or the any pushbutton on machinery won ' t mark with 5 color, the any number on meeting items of an account won ' t use money 5 color are written, the every number letter that shows on the clavier letter on the computer or screen won ' t be form by 5 color, if use only color, distinguish all sorts of index, operation, discriminative job only, it is normal that only color identifies ability person all can foster into this respect useful talent or this professional expert

    能夠明確區分和識別紅、黃、綠、藍、紫各單種顏色是不影響從事財會、治理類、體育、計算機機械製造等專業的，也就是說機床上或機械上的任何一個按鈕不會用五個顏色標識，財會賬目上的任何一個數碼不會用五個顏色書寫，計算機上的鍵盤字母或屏幕上顯示出的每個數碼字母不會是由五個顏色構成，只要是用單顏色區別各種指標、操作、演示的工作，單顏色識別能力正常者均可培養成這方面有用人才或這個專業的專家。
  3. The results show that the chemosensor exhitits selective fluorescent quenching in the presence of aromatic organic acid in acetonitrile solution, and that the binding ability of the chemosensor with organic acid is in the order of p - cyanic - benzyl acid > p - chloric - benzyl acid > p - methoxyl - benzyl acid > benzyl acid

    結果表明，所合成的熒光分子在乙腈溶液中能選擇性識別芳香族有機酸，表現出熒光淬滅現象，其與有機酸絡合能力的大小依次為：對氰基苯甲酸對氯苯甲酸對甲氧基苯甲酸苯甲酸。
  4. As palmprint is typical of ease acquisition, and its major feature is apparent, stability and divisibility, palmprint automatic identification is a very potential identification technology. however, the research and application of biological feature identification based on palmprint are very few due to the complexity, diversity and variableness of palmprint

    掌紋由於易於獲取，主特徵明顯、穩定、具有可分性等特點，以及掌紋自動識別系統具有直接、友好、方便、良好的唯一性和應用范圍廣的優點，因此是一種很有發展潛力的身份識別方法。
  5. Dish in breakthrough evidence just appeared on attempt of pattern day wire dish in move general relatively dovish, dish in a flaw is banker hits share price again rarely all price lower part moves, not was necessary to make this motion that day, if discover dish in hit downward low all valence is answered smoke faint when, should take care whether open quotation configuration is one leads much movement, the essentials that spots this movement is after luring polymorphous condition open quotation one hour, drop downward necessarily broken all price goes low, indication banker is protected involuntarily dish, make quake of purpose

    盤中形態日線圖上剛出現突破跡象的個股盤中運行一般都較為穩健，盤中一個破綻就是莊家很少將股價再打到均價下方運行，當天沒有必要做這個動作，假如發現盤中向下打低均價回抽無力時，要小心是否開盤形態是一個誘多動作，識別這個動作的要領是誘多形態開盤一小時后必然向下跌破均價走低，顯示莊家無心護盤，有意作震蕩。
  6. The speech recognition ' s system ( in this paper we mainly discuss ibm viavoice ) has the certain capacity of self - adaptation to the speech velocity, volume and tone, but the capacity of those is not enough with different enunciator

    目前的語音識別系統（本文中主要是指ibm的viavoice語音識別系統）對語速、音量和音調都具有一定的自適應調整能力。
  7. In this article, considering the character of the one - dimensioned continuum and the cross - section, the varied quotiety of the strain can be presented as the mode function to identify the damage. and inversion of the elastic wave is presented to detect the injures when the area is the variable of the inversion, for the pip usually buried under the earth or enwrapped into the protection make the detection difficulty by the mode of vibrancy. the influence of the area must be considered if the exactness is the pre - requisition

    在論文中，考慮到壓力管道的一維性質，提出用應變模態改變變化率的方法對一維的結構進行損傷識別；同時考慮到在實際的工程和現場測試中，壓力管道大多深埋在地下或者有外在的保護膜，不宜進行模態的檢測，所以也考慮利用彈性波的方法對壓力管道的性質參數和截面性質進行反演識別，從而得到我們感興趣的東西，達到損傷識別；一般，在利用彈性波反射方法進行損傷檢測中，不考慮截面效應對彈性波的衰減影響，這就對損傷檢測造成一定的影響，本文考慮截面效應的影響，通過實驗來確定截面效應系數。
  8. The better advantage of high frequency induction in defining thin intercalated bed, discerning high - salinity low - resistivity oil ( gas ) reservoir, estimative of reservoir, estimating water - flooded reservoir and so on are found by analyzing the application of the many frequency induction logs in shengli oil filed

    通過分析勝利油田多口井的高頻感應測井資料發現，高頻感應在劃分薄夾層、識別高礦化度低阻油（氣）層、定性確定儲層滲流能力、評價水淹層等方面都有明顯的優越性。
  9. One of person thrust is moved that spending layout easily is brand design development, dedicated the idea with innovation and the brand that design skill to promote you identify, planar design ( ci, vi, logo, placard is portable bag, an album of paintings, odd, all sorts of foldout, spray paint designs ), the advertisement promotion, development that pack, reveal a variety of intermediary such as the design

    易度企劃是品牌設計發展的有力推動者之一，專注以創新的意念及設計技巧來提升您的品牌識別、平面設計（ ci 、 vi 、 logo 、海報手提袋、畫冊、單張、折頁、各種噴繪設計等） 、廣告推廣、包裝開發、展示設計等多種媒介的創意及設計。
  10. According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis ， then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5

    再次，為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能，在第四、第五兩章運用模糊集理論（ fst ）和粗糙集理論（ rst ）對支持向量機進行研究，採用優勢互補原則，先是把模糊集與支持向量機有機結合，構造出基於模糊集的支持向量機（ fssvm ） ，然後把粗糙集理論與支持向量機相互結合，進而把rst與fssvm相互結合，構造出基於rst的支持向量機。
  11. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  12. Now that the institution of the capacity for civil liability is the logic premise that affirms a fault, and a doer can not be affirmed to be in fault without the recognizing ability, the ability behoove to be the criterion for judging whether someone own the capacity for civil liability

    既然責任能力是認定過錯的前提，只有在行為人於行為時有識別能力才可能形成過錯，那麼行為人的具體識別能力理應成為責任能力的判斷標準。
  13. In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible

    在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。
  14. However, the holding - based methods have more power to identify the stock selection ability of funds, because they use more information than regression methods

    傳統的回歸型評價方法對評價基準有較強的依賴性，而基於持股數據的方法則因利用了較多的信息而對基金的擇股能力有較強的識別力。
  15. The first hypothesis is true according to the pd of 1 - year and pds of each quarterly in one year before special treatment and the second hypothesis also is true in three quarterlies before a corporation is specially treated. default probability of a specially treated corporation is high and tends to increase as time near the exposure date. 2. kmv model has a capacity of discriminating the bad borrowers from good borrowers. 3. volatility of market value of asset is determinant of default probability

    本文得出的主要結論有: （一）假設一在特別處理前一年及各個季度內成立，假設二在特別處理前三個季度內成立，我國資本市場中的特別處理公司具有較高的違約概率且隨著時間向特別處理實施日期逼近違約概率增加; （二） kmv模型具有較強的對違約債務人的識別力; （三）影響違約概率的主要因素是公司資產價值波動率。
  16. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。
  17. Firstly, this paper sums up the status quo of studying on core competence, reviews and compares the existent methods of core competence identification. and it analyzes and discusses the core competence from four aspects, connotation, characters, determinant factors and forms of exhibiting. there into it explains some concepts which can be confused easily

    本文首先對企業核心能力研究現狀進行了概括，回顧、比較了核心能力的現有識別方法，從內涵、特徵、決定因素和表現形態四個方面對企業核心能力進行了界定，並重點對幾個易混淆概念作了比較說明。
  18. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  19. In this paper, an adaptive hidden markov model ( ahmm ) approach for on - line hand - drawn shape recognition is presented. in our method, hmms are chosen as the core recognizer due to its great ability to model stochastic time series. many improvements are made to the traditional hmm recognizer in order to increase the flexibility of the recognition system, the resulting framework can not only adaptively learn from training data, but also can adapt system behavior to input hand - drawn shape

    本文提出了一種用於聯機手繪圖形的自適應隱馬爾科夫模型識別方法，該方法利用隱馬爾可夫模型（ hmm ）對時序隨機序列的描述能力作為手繪圖形識別中的核心分類器，並且在傳統hmm識別結構的基礎上進行了改進，使得識別系統不僅具有自適應學習訓練樣本的能力，而且具有根據輸入圖形特徵調節系統行為的能力。
  20. The main contents are following : ( 1 ) from the methodology of nn, the basic theories on nn are discussed, with the emphasis on the mechanism of nn and its study rules. then the bp nn is concerned, because it is the comparatively most widely used nn type in the field of structure ' s damage identification ; ( 2 ) from the angle of system identification theories, the method and process of establishing the identification system model are demonstrated. also, how to implement a structural damage identification system of concrete architecture, based on bp neural network is demonstrated in the thesis ; ( 3 ) in order to find a more effective training algorithm of global approach, the way of optimizing network ' s weights using ga is demonstrated

    論文的主要內容包括： （ 1 ）從神經網路理論出發，探討了神經網路的基本理論，並重點論述了神經網路的工作機制和學習規則，及在結構損傷識別領域中廣泛應用的前向神經網路模型- - - - bp神經網路模型； （ 2 ）從系統識別論的角度，提出了利用神經網路建立混凝土結構損傷識別反問題的思路、方法和步驟，並在此基礎上研究了基於bp神經網路的結構損傷識別系統對單處梁結構進行識別的方法； （ 3 ）為了尋找一種更有效的全局逼近學習演算法，本論文從神經網路與遺傳演算法相結合的角度，闡述了遺傳演算法結合bp演算法優化神經網路權值的方法，實驗證明，遺傳演算法和神經網路相結合不僅具有神經網路泛化的映射能力，而且具有遺傳演算法快速和全局逼近的優點，是一種較好的解決混凝土結構損傷識別問題的方法； （ 4 ）基於java語言設計並實現了結構損傷識別系統。
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