信息熵模型,information entropy model
1)information entropy model信息熵模型
英文短句/例句
1.The Research on the Application of Entropy Model for Credit Evaluation in Auto Finance;信息熵模型在汽车金融信用评级中的应用研究
2.Average--information entropy mode for real estate portfolio;房地产开发项目投资组合的均值——信息熵模型
3.Model of measuring software development risk based on information entropy基于信息熵的软件开发风险度量模型
4.Index Assessment Modelling for Managerial Achievement Based on Information of Power-entrustment基于信息熵赋权的经营业绩指标评价模型
5.Study on Inhabitant Trip Distribution Model Based on Maximum Information Entropy基于最大信息熵的居民出行分布模型研究
6.The method is based on the intrusion detection model and the entropy is used as the criterion.该方法以入侵检测模型为基础，信息熵为准则。
7.The Research on the Classification Model Based on Rough Set and Entropy;基于粗糙集合和信息熵的分类模型研究
8.A Real Option Pricing Model Based on Information Entropy Theory;基于信息熵理论的实物期权定价模型及其应用
9.A Gauss Mixture Model with Difference of Mutual Information for Image Segmentation结合互信息熵差测度的高斯混合模型图像分割
10.Fault Diagnosis Model of Power Network Based on Information Entropy Reduction Algorithm基于信息熵最优约简算法的电网故障诊断模型
11.The Combined Forecasting Model of Non-performing Loans Assessment Based on Information Entropy基于信息熵的不良资产评估组合预测模型研究
12.Model of Computing Terminal Information Entropy in the Application of Anti-warship Missiles反舰导弹作战过程中终端信息熵计算模型
13.Fuzzy Comprehensive Evaluation Model Based on Information Entropy Used in Chemical Enterprise Vendor Selection;基于信息熵的化工企业供应商选择模糊综合评价模型
14.Research on the Model Using RS Theory-Information Entropy-Wavelet Neural Network in the Oil Gas Reservoir Prediction;油气储层预测的RS理论—信息熵—小波神经网络模型研究
15.The Military Traffic Flows Distribute Model Research of Maximum Gray Information Entropy Based on Maximum Concealment;最大灰信息熵路网军事交通流最大隐蔽性分配模型研究
16.Biological Cell Image Segmentation Based on the Simplified PCNN Model and Entropy Maximization基于简化PCNN模型及信息熵最大准则的生物细胞图像分割
17.Research on Singular and Plural Information and Maximum Entropy Model for Personal Noun Phrases人称名词短语单复数信息和最大熵模型的指代消解
prehensive Evaluation on Enterprise Economical Benefits Based on the Information Entropy and Unascertained Measure Model基于信息熵与未确知测度的煤炭企业经济效益综合评价模型研究
相关短句/例句
Model of message entropy for land use土地利用信息熵模型
3)fuzzy information entropy模糊信息熵
1.At the same time, aiming at reducing the affect caused by uncertain information to the result, thefuzzy information entropy is used to .该模型利用模糊信息论中的模糊数,基于贴近度的模糊模式识别对待识空中目标进行初步识别,同时为解决不确定信息本身对目标识别结果稳定性的影响,采用模糊信息熵对目标识别结果修正,从而进一步提高了空中目标识别结果的稳定性和可信度。
2.Withfuzzy information entropy and fuzzy distance,the calculation method of the fuzzy degree is given,and characteristic of those methods are probed.介绍了模糊性的度量方法模糊度,分析了模糊度的公理化理论体系,并根据模糊度对单调性和对称性要求的强弱不同,将模糊度细分为3种类型,证明了每个类型所具有的性质,给出了用模糊信息熵及各种模糊距离计算模糊度的方法,并探讨了这些方法的各自特点。
4)genotype entropy基因型信息熵
1.It was demonstrated that two kinds of frequency distribution on gamete and genotype were equivalent to Hardy-Weinberg equilibrium distribution with respect to limited loci in a diploid population when the gamete entropy andgenotype entropy reached respective maximal possible value.与随机交配下的Hardy-Weinberg平衡相比,如果从交配方式上对群体施以其他的外部强制,群体发展的结果是最终会达到一个不随时间变化的状态,这个状态不是平衡态而是非平衡定态,此时配子信息熵和基因型信息熵具有极小值,这种非平衡定态是一种远离无外部强制作用下Hardy-Weinberg平衡状态的状态,与群体遗传学传统观点有所不同。
2.The gene pool entropy and thegenotype entropy were introduced in this paper, associated probability distribution and associated entropy between a female parental genotypes and its descendant genotype of a complete-selfing population were defined, the characters of the associated entropy was demonstrated, and they were interpreted in informatics.定义了复等位基因群体的基因库信息熵和基因型信息熵,给出了在完全自交下复等位基因群体随世代交替母子间基因型联合分布规律及母子间基因型联合信息熵,讨论了母子间基因型联合信息熵的性质,并从信息学角度加以解释。
3.In this paper, the entropy of the genepool and the genotype of poly-alleles population in inbreeding were introduced, and the characters ofgenotype entropy were demonstrated simultaneoulsly.研究了在近亲繁殖下复等位基因群体的基因库信息熵和基因型信息熵,并讨论了在世代交替中基因型信息熵的性质。
5)RS Theory-Information Entropy-Wavelet Neural Network ModelRS理论-信息熵-小波神经网络模型
6)Shannom entropy信息熵(Shannom熵)
延伸阅读
信息熵（informationentropy）信息熵（informationentropy）是信息论中信息量的统计表述。香农（Shannon）定义信息量为：`I=-Ksum_ip_ilnp_i`，表示信息所消除的不确定性（系统有序程度）的量度，K为待定常数，pi为事件出现的概率，$sump_i=1$。对于N个等概率事件，pi=1/N，系统的信息量为I=-Klnpi=KlnN。平衡态时系统热力学函数熵的最大值为$S=-ksum_iW_ilnW_i=kln\Omega$，k为玻尔兹曼常数，Wi=1/Ω为系统各状态的概率，$sum_iW_i=1$，Ω为系统状态数，熵是无序程度的量度。信息量I与熵S具有相同的统计意义。设K为玻尔兹曼常数k，则信息量I可称信息熵，为$H=-ksum_ip_ilnp_i$，信息给系统带来负熵。如取K=1，对数底取2，熵的单位为比特（bit）；取底为e，则称尼特。信息熵是生命系统（作为非平衡系统）在形成有序结构——耗散结构时，所接受的负熵的一部分。
