識別模型 的英文怎麼說

中文拼音 [zhìbiémóxíng]
識別模型 英文
model of cognition
  • 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）
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. As - sbc contains a basic four - bar loop ( bfbc ) and a dyad. base on the distance of two common joints shared by the bfbc. and the dyad, the model of circuit identification is established

    將stephenson六桿鏈（ s - sbc ）看作由一個基礎四桿鏈（ bfbc ）和雙桿組組成，基於bfbc和雙桿組的兩個公共副之間的距離，建立了s - sbc迴路識別模型。
  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. At the same time according to the low recognition rate in speech recognition system, the author used the method of fundamental frequency analysis to build male / female recognition model respectively

    同時針對語音識別系統中識別率不高的問題，採用基音頻率分析的方法分別建造男女聲識別模型。
  4. Recognition - by - component model rbc model

    經成分識別模型
  5. The thesis introduces attribute - identified model which can evaluate and seriate the level of the enterprises sustainable development. it clearly quantifies the degree of enterprise sustainable development. at the same time it also makes the enterprise know which position it belongs to

    在評價模型的建立中引入了屬性識別模型，它可對多個企業的發展程度進行評價與比較排序，使企業在其自身可持續發展程度得以較清晰量化的同時，清楚地認識到自身所處的狀態和地位，為企業下一步可持續發展戰略的制定與實施提供了理論和現實的依據。
  6. A model study of pattern recognition in rhinopithecus roxellanae subspecies

    川金絲猴亞種的模式識別模型研究
  7. Application of multi - pole fuzzy pattern recognition model to ventilation system in underground uranium ore mine

    多級模糊模式識別模型在鈾礦井通風系統中的應用
  8. Fuzzy pattern recognition model based on improved ahp for index weight calculation and its application in assessment of water quality

    法定權的模糊模式識別模型及其在水質評價中的應用
  9. Application of a two - stage fuzzy pattern recognition model to the judgment of the main parameters selection in a crane system

    兩級模糊模式識別模型及在起重機機構系列主參數擇優中的應用
  10. Firstly, the pretreatment of character to be recognized is researched, stressed discussing the subdivisional process of character, and a kind of fast shape preserving morphological thinning algorithm is used. in the following, how to construct the structure model on the basis of characteristic point ) sub - stroke and their interrelation is discussed, and a kind of method that describe sub - stroke through the feature of the sequence of curvature is brought forward. finally, the paper adopts the recognising model of printing number that base on repository, and describes the constructing method of repository

    文中首先對待識別字元的預處理進行了研究，著重探討了字元的細化過程，採用了一種基於數學形態學的保形的快速細化演算法；接著探討了如何以特徵點和子筆段及其相互關系為基礎構造結構模型，提出了一種以曲率序列性質描述子筆段的方法：最後採用了以知識庫為基礎的印刷體數字識別模型，並詳細地描述了知識庫的構造方法。
  11. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。
  12. A program was set up using visual basic 6. 0. the results show that the visible fruits under direct sunlight or backlighting condition were identified with an accuracy of 100 %, however, intense background sunlight will cause poor fruit illumination and poor segme ntation results. it is widely known that there is thermal radiation difference between citrus and leaves

    分別在順光條件和背光條件下進行了試驗分析，結果表明該識別模型可以實現對樹上可見的柑桔的識別，並適用於單個和多個果實的識別，識別率為100 ，但在順光條件下，當背景（雜草）反射光較強時，則存在混淆區域。
  13. In order to make the recognition rapid a recognition model based on searching tree is proposed lots of experiments on it were done and the results proved what we proposed is possible

    為了提高識別時的速度，從理論上提出了一種基於搜索樹的識別模型，並對其可行性進行了一定的驗證。
  14. Abstract : the end basket with a form of double layered conical weave net is simplified into a model of continuous conical shell - beam combined structure and in accordance with the test results of experimental modal analysis. a part of geometrical and material parameters of the conical shell in the model are identified to get an equivalent mechanical model which has the same dynamic characteristics as that of the prototype structure. by simulation and experiment, the effectiveness of the method offered is fully verified

    文摘:將大型汽輪發電機定子端部的雙層圓錐型編織網殼簡化為連續錐殼-梁組合結構.根據實際結構的試驗模態分析所得到的模態參數識別模型中錐殼的部分幾何、彈性參數，獲得了與定端繞組實際結構具有相同動特性的當量力學模型.對實際機組的計算和實驗結果證明了本文中的方法是可行的
  15. To effectively identify the particulate and aggregative fluidization of fluidized bed, bp neural network model has been developed. the results show that bp neural network model is more efficient than the traditional method

    散式流化和聚式流化的判別模擬實驗表明， bp神經網路流型識別模型能夠準確快速地識別這兩類模型，識別的準確率高於傳統判別方法。
  16. Finally, bp neural network recognition model of particulate and aggregative fluidization and rbf neural network prediction model for chaotic time series of circulating fluidized bed have been set up, which provides new methods for on - line recognition of fluidization state and control and prediction of circulating fluidized bed systems

    最後建立了散式流化和聚式流化bp神經網路識別模型和循環流化床中的混沌時間序列的rbf神經網路預測模型，為流型在線識別和循環流化床系統的控制和預測等提供了新的方法。
  17. Fuzzy gaussion mixture models for speaker recognition

    一種模糊高斯混合說話人識別模型
  18. Construct a automate wear particle recognition model. 7

    構造了一個自動磨粒識別模型。
  19. Teaching theory, of cognitive structure in nursing psychology

    基於認知心理學的模式識別模型框架
  20. Fuzzy recognition model and its application in assessment of natural calamity

    自然災害的模糊識別模型及其應用
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