识别函数的英文

• recognition function

• "识别"英文翻译    discriminate; distinguish; d ...
• "函数"英文翻译    function
• "判别函数" 英文翻译 :    criterion function; df; discriminant function; discriminantfunction; discrimination function
• "判别函数权" 英文翻译 :    discriminant function weight
• "二次甄别函数" 英文翻译 :    quadratic discriminant function
• "辅助判别函数" 英文翻译 :    subsidiary discriminant function
• "经验判别函数" 英文翻译 :    edf; empircal disciminant function; empirical discriminate function
• "判别函数准则" 英文翻译 :    discriminant function criteria
• "统计判别函数" 英文翻译 :    statistic descriminant function
• "线性辨别函数" 英文翻译 :    linear discrimination function
• "线性判别函数" 英文翻译 :    linear discriminant function
• "多项式判别函数" 英文翻译 :    polynomial discriminant function
• "分段线性判别函数" 英文翻译 :    piecewise linear discrimination function
• "用作显示直方图和累计分别函数的绘图窗口。" 英文翻译 :    histogram window
• "变换函数模型识别" 英文翻译 :    identification of transfer function models; identificationoftransferfunctionmodels
• "识别" 英文翻译 :    1.(辩别; 辩认) discriminate; distinguish; discern; tell the difference; spot 识别能力 capacity of discernment; 识别力 discernment; discerning ability; 识别真伪 distinguish truth from falsehood; 识别优劣 distinguish the good from the bad: 在人群中识别出一个人 distinguish a person in a crowd; 善于识别干部 know how to judge cadres; 按相貌识别某人 recognize sb. from a description; 虽然有雾, 船员们仍能相当清楚地识别出那是岸线。 in spite of the fog the crews can distinguish the coastline fairly well.2.[计算机] identification; recognition; 识别标记[志] identification marking; dog tag; identification mark
• "函数" 英文翻译 :    [数学] function◇函数计算机 function computer; 函数计算器 function calculator; 函数运算 functional operation
• "识别器，识别机" 英文翻译 :    recognizer
• "识别识别" 英文翻译 :    identification
• "trna识别" 英文翻译 :    trna recognition
• "辨别，识别" 英文翻译 :    tell apart
• "辨认,识别" 英文翻译 :    identify
• "辨证，识别" 英文翻译 :    id identification
• "不识别" 英文翻译 :    [数学] nonrecognition
• "场识别" 英文翻译 :    field recognition

• The addr2line utility enables you to identify the function and source line number of a given address and executable image
  Addr2line工具可以识别函数、给定地址的源代码行数和可执行映像。
• In the research , the mda function and 5 - indices - ann model illustrate a great power in identifying the fraud . this article is divided into four chapters
  研究结果表明会计信息失真多元判别分析识别函数和5指标神经网络识别模型具有较高的识别能力。
• 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 、研究一拟线性抛物型热传导方程非线性未知源项的识别问题；对于给定识别函数，论证了状态方程解的存在惟一性、方程解与识别函数的依赖关系和可识别性；通过选取适当的基函数，把对非线性源项的识别转化成常系数识别问题；给出了实现非线性源项识别的迭代算法，通过数值实验证明了算法的有效性。
• The results of research show that the mda function and 5 - indices - ann model can successfully identify the fraudulent accounting information . particularly , 70 percent accuracy can be achieved using the latter model in identifying fraud of listed companies other than the original samples . the outcome of the research will provide academic and practical support to accounting firm , investors and government departments
  研究结果表明多元判别分析识别函数和5指标神经网络识别模型对会计信息失真具有较强的识别能力,特别是后者应用于中国上市公司的会计信息失真识别可取得高于70 %的准确性,这一成果将为会计事务所、投资者和监管部门提供相关理论支撑和技术支持。
• Second , based on the theory of synthetic discriminant function , several sub - reference images were synthesized to form the reference image base to realize rotation distortion - invariant recognition , which also solved the ill - problem of synthesizing a single reference image with the whole training distorted images and made the pose estimation easier . third , the phase - encoding and amplitude modulation distortion - invariant jtc for multi - target recognition were described
  其次，论文采用综合识别函数方法构成子参考图像，建立参考图像库的方法解决了目标旋转畸变不变的识别问题，克服了由大量训练图像合成单幅参考图像时，高频信息损失严重的病态问题，并可实现对真实目标旋转姿态的估计。
• With the purpose of providing foundation of choosing empirical samples according to audit opinion , chapter 2 studies the theoretical basis and concept of fraudulent accounting information , expatiates the relationship between audit opinion and fraudulent accounting information . chapter 3 introduces the process of sample choosing , indices selecting and filtering , and model constructing of quantificational research of identifying fraud . based on the descriptive analysis , chapter 4 builds up mda function and ann models of identifying fraudulent accounting information of china ’ s listed companies , and verifies the identifying ability of these function and models
  本文分为四个章节:首先,本文提出选题背景,总结国内外研究现状,同时阐明研究目的、研究步骤及行文结构;第二章研究会计信息失真的理论基础和概念内涵,阐述审计意见与会计信息失真的关系,为依据审计意见类型选取实证样本进行理论铺垫;第三章介绍会计信息失真识别定量研究的样本选取、识别指标选取和筛选,最后构造实证模型;第四章在剖面分析基础上结合实证样本和识别指标进行定量研究,依次建立会计信息失真多元判别分析识别函数和13指标、 5指标神经网络识别模型,并分别检验它们对中国上市公司会计信息失真的识别能力;最后结论对会计信息失真识别的定量研究结果进行归纳总结,探讨本研究对识别会计信息失真的理论和实践意义,并指出本研究存在的局限及后续研究方向。
• In the research , the system captures real - time images based on the sdk , and saves the image data into buffers which are created by the system . the important and primary parts are got using the programs which are designed to process and analyze the image data in the buffers , and the geometrical features such as area , perimeter , moment invariants and fourier descriptor , are measured . the parts are classified according to the threshold of each geometrical feature with the image database
  课题研究中,在设计的试验平台上,通过摄像头和sdk开发包对零件进行实时图像采集,并将其存入开辟的数据缓冲区内;由设计的图形处理模块对缓冲区内的数据采用各种算法进行分析处理,形成研究中感兴趣的重要图像;调用图像识别判断模块,主要提取了零件的周长,面积,惯性矩,傅立叶描绘子等形状特征参数,根据定义的识别函数,并结合图像数据库,进行零件识别或缺陷检测。
• This function also bodied such a fact that when the inputs continuously judged as the true objects , the probability of the true input would be strengthened , and on the other hand when some inputs were judged as the false objects continuously , the probability of the true input would be weakened
  为了计算目标识别概率，论文还建立了具有自明性的统计识别函数，可以直观地显示真目标和假目标的概率走势，真假目标在输入待识别图像序列中出现的位置，以及连续出现真目标和连续出现假目标时对各自识别概率的增强和抑制作用。