fuzzy entropy中文是什么意思

发音:

中文翻译
造句

模糊熵

fuzzy adj. 1.有茸毛的，覆着细毛的，如茸毛的。 2.不清 ...
entropy n. 1.【物理学】熵。 2.【无线电】平均信息量。
fuzzy number entropy 模糊数熵
fuzzy adj. 1.有茸毛的，覆着细毛的，如茸毛的。 2.不清楚的。 fuzzily adv. fuzziness n.
entropy (standard entropy) 熵（标准熵）
absolute entropy 绝对熵
activation entropy 活化熵; 激活熵
approximate entropy 近似熵
asymptotic entropy 渐近熵
calorimetric entropy 量热熵
change in entropy 熵变
code entropy 代码熵
communal entropy 共有熵; 共熵
conditional entropy 带条件的平均信息量; 条件烟; 条件熵
configuration entropy 位形熵
configurational entropy 构型熵; 构形熵; 配位熵
conformational entropy 构象熵
constant entropy 等熵
cross entropy 交叉熵
debye entropy 德拜熵
dilution entropy 稀释熵
discrete entropy 离散熵
ecific entropy 比熵
elastic entropy 弹性熵
entropy balance 熵衡算; 熵平衡

"查查词典"手机版

千万人都在用的超大词汇词典翻译APP

例句与用法

Data generalization is a kind of data model in knowledge mining . fuzzy entropy and fuzzy modifying bayesian method are used to generalize the trouble diagnosis data in fms
采用基于模糊熵的最大增益和模糊修正贝叶斯的类属算法，计算fms的故障分类问题，说明了知识挖掘的数学过程。
I improve the back propagation arithmetic , and apply fuzzy entropy to the training and studying of nerve network , a new arithmetic based on fuzzy entropy and error is presented
对现有的bp算法进行了改进，将模糊熵用于神经网络的训练和学习，提出一种基于模糊熵准则和误差平方和准则的多准则模式识别方法。
Aiming at target detecting mechanism of fly vision , we propose a new method for infrared image segmentation using the fuzzy entropy . its segmentation velocity is fast , and can be satisfied with the feature of real time
提出一种仿蝇视觉目标检测的工程实现方法?基于模糊熵的图像分割方法，它分割速度快，简化了运算量，提高了运算速度。
Based on fuzzy entropy theory , a systematic analytical method was applied to analyze the characteristics and factors of logistics operation of engineering project manufacturing system with large material flow
分析了该类制造系统的工程项目特征和大物流特征，基于模糊熵理论，运用系统分析方法，以大物流工程项目类制造企业为对象，分析了物流特点和影响因素，确定评价该类企业物流运行的特征指标。
2 , segmentation of the ir image : first systemic introducing image segmentation ' s model and classification , second emphasizing on researching image segmentation using best entropy or fuzzy entropy based on genetic algorithm
2 、红外图像的分割：首先系统地介绍了图像分割的模型和分类，然后力求从图像分割的自适应和鲁棒的角度，仔细讨论了最佳熵和模糊熵的图像分割技术，引入了遗传算法的寻优规则。
By analyzing expression between a and fuzzy entropy from the view of analytics , this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a , then discusses the sensitivity of the parameter a to classification result such as total nodes , rule number , classification accuracy of fuzzy decision tree , proposes an experimental method of obtaining optimal a , it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best , and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result
本文在visualc + +软件开发平台及模糊id3算法的基础上，从解析的角度出发，通过分析参数与模糊熵之间的函数关系式，讨论了随着的增加，模糊熵函数的变化趋势，进一步分析了参数对模糊决策树的分类结果在训练准确率、测试准确率、规则数等方面所表现出的敏感性，探讨了得到最优参数的实验方法。实验证明，利用这一方法得到的最优参数的值，可以使模糊决策树的分类结果达到最好的效果，从而为人们用模糊决策树进行分类时选取参数以获得最优的分类结果，提供了良好的理论依据。
First , we analysis the general theoretical model of video segmentation . secondly , based on the model , an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering . motion - changed regions are detected , using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image
论文首先讨论了时差分视频分割的一般理论模型,然后在建立的视频分割模型的基础上,从模糊熵聚类的角度出发提出了一种视频运动变化区域自动检测的方法,通过建立的模糊分类准则在差分图像中对运动变化区域和相对噪声区域进行划分,从而得到运动变化区域。
Considering the fuzziness of some boundary conditions enviroment media , and especially some loads in the engineering structure analysis , we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ) , study further and systematically the analysis and solution . the principle of fuzzy minimum potential energy is established , and the balance equation of fuzzy finite element is reasoned by making fuzzy variation . at the same time , the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced . based the theory that the degree of the fuzziness and probability can be measured , in the other word , by using the concept of fuzzy entropy and entropy , pure fuzzy dynamic structure is given through transforming the probability to fuzziness . for the fuzzy parameter can be regarded as a fuzzy vector with dimensions , the structure ' s eigenvalue , by the theory of small parameter
建立了模糊瞬时最小势能原理，运用模糊变分原理导出了模糊有限元动力平衡方程；同时，利用随机变分原理导出了动力问题的随机有限元方程，同时得到了模糊随机动力问题的有限元平衡方程。根据模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把结构的随机性等效地转化为结构的模糊性，得到纯粹模糊性的动力结构。把结构所具有的模糊参数看作一个维的模糊向量，利用小参数摄动原理，把结构的特征值，特征向量和位移都在模糊向量的均值处进行泰勒展开，得到一组递归方程，即可以求得结构的模糊特征值，特征向量和模糊位移。
Multi - rules neural network learning part decreases the dimensions of attribute collection , to reach the goal of simplifying the input ; we stress the multi - rules learning algorithm based on fuzzy entropy rule ; at the same time , all the knowledge available is used to design the input layer , hidden layer and output layer of the neural network
多准则神经网络部分对客户属性集进行维数约简，重点介绍了以模糊熵准则为基础的多准则学习方法，同时提出了网络输入层、隐含层及输出层的构造方法。
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
本文首先介绍了情感语音数据库的建立情况,然后研究了基音频率、振幅能量和共振峰等目前常用的情感特征在语音情感识别中的作用,并且通过一种基于模糊熵的特征有效性分析方法进行了有效特征的筛选,应用人工神经网络建立了初步的语音情感识别模型,经过实验发现特征筛选后系统的识别效果有着一定程度的提高。