遗传集

词组短语

hereditary set

与遗传集相关的网络例句 [注：此内容来源于网络，仅供参考]

The concept of genetic algorithm, its configuration, operators and existing problems are introduced in this paper. A new algorithm for clustering analysis is presented based on genetic algorithm. There are two characteristics in our approaches. Firstly, the algorithm is the general-purposed and our clustering analyzer can cluster large data set with mixed numeric and categorical attributes.

4介绍遗传算法的概念、算法结构、运算算子及主要存在问题；提出了一种基于遗传算法的聚类新方法MGA，该方法有两个主要优点：一是通用性强，可以对包含数值属性和符号属性的大数据集进行聚类；二是提高了数据挖掘的效率与质量。

The other classfies the calculation of MBPS into the solution of inequation based on heuristic knowledge of MBPS of optimal directional coordination setting in complex multiloop network and comes into equivalence of 0-1 integral second layout problem. On the basis of the principle of Gene Optimal Evolution, a new approach to determine MBPS is first presented and decreases the computational complexity of MBPS problem.

其二，利用复杂环网方向保护最优整定配合中最小断点集的启发知识，将MBPS的计算归结为解不等式，进而等价为0—1整数二次规划问题，基于基因遗传优化计算原理，首次提出了MBPS问题的基因遗传算法，降低了问题的计算复杂性。

Based on the method of multi-objective fuzzy optimization and the overhead traveling crane design, a mathematical model of fuzzy optimization for main box beam section is established. A fuzzy goal anthology is constructed. The fuzziness of multi-objective function and constraints is defined. The transformation of the fuzzy constraints set to normal constraints set in real number domain is realized by applying optimal level cut set method. The optimal solution and optimal constraint value of sub-objective function in the feasible field are found using the genetic algorithms.

应用多目标模糊优化方法，以工程设计中桥式起重机箱形主梁设计为实例，建立了桥式起重机箱形主梁多目标模糊优化设计的数学模型，构造了模糊目标集，确定了多目标函数的模糊性和约束的模糊性，并应用最优水平截集法实现了模糊约束到实数论域上的集合转换，从而用遗传算法寻求到子目标函数在可行域空间的最优解和约束最优值。

In order to improve the convergence rate of genetic algorithms based on edge detection,a novel edge detection method based on a good point set genetic algorithm was proposed.

为了提高遗传算法应用于边缘检测的收敛速度，提出了一种基于佳点集遗传算法的边缘检测方法。

In view of disadvantages in present defect reconstruction methods,such as over-long time or excessive need for training samples,a new defect reconstruction method based on similar model and genetic algorithm was investigated as follows:similar model between non-axisymetric defect and axisymetric defect was represented,and proportionality factor was deduced by skin depth equation.

针对以往缺陷重构方法中普遍存在的计算时间长或需要大量训练样本的缺点，提出一种基于相似模型和遗传算法的缺陷快速重构方法，分析非轴对称缺陷与轴对称缺陷之间存在的相似模型，并利用集肤深度公式推导出两者之间的缩比因子，从而将耗时巨大的缺陷重构问题转换为二维轴对称情况下的计算问题；同时为进一步缩短重构时间，提出一种加快遗传算法收敛速度的方法。

Based on the study of a Pareto optimal for multiobjective optimizations , the Genetic algorithms for MOP is studied. Four new operators are introduced into this MGA that are niche technique, Pareto optimal set, nondominated rank and fuzzy penalty function method.

在研究多目标优化有效解集的基础上，对处理多目标优化的遗传算法进行研究，引入小生境技术、Pareto过滤解集，给出了非劣解排序的方法；对小生境技术引入的优越性进行了比较研究，通过算例检验了本文研究的多目标遗传算法的有效性。

Efficient detector generation algorithm is the kernel of anomaly detection. Aiming at low true positive value, unhandy matching threshold value and large detector set size of existent algorithms, a novel detector generation algorithm based on multiple populations genetic algorithm is put forward in this paper. According to morphologic analysis of intrusion detection system and covering problem principle, self set is divided into several partitions on the basis of their characters.

摘要有效的检测器生成算法是异常检测的核心问题，针对现有算法存在检测率低、匹配阈值固定、检测器集合庞大等问题，本文提出了基于多种群遗传算法的检测器生成算法，根据形态学空间的分析和覆盖问题原理，自体集根据特征进行划分，各个种群根据划分独立按遗传算法进化，最后求得所有检测器种群的并集得到成熟的检测器。

Because divergence timing of the West Clade from the East Clade of S. japonica complex was estimated to be Aquitanian of Miocene (23 Ma), during which the mountains and plateau of Southwest China were formatted, the divergence of the West Clade from the East Clade of s. japonica complex was presumably correlated closely with the uplifting of mountains and plateau of Southwest China. The multiple variations of the West Clade of S.

西部集群居群间具有更大的遗传分化值和更大的遗传分化值变动范围，提示西部物理环境的复杂性导致更多的小区域隔离，小的基因流和更大的绝对成种速率，这与西部的物理环境的复杂性是相协调的，并且可能是造成西部山地高原地区生物多样性异常丰富的微观过程和机制。

Dynamic matrix predictive control algorithm based on genetic algorithm optimizes different chromosomes syngen by genetic algorithm, and gets the most parameter set through decoding the most individual, and counts contemporary control series increment and brings to controlled objects.

基于遗传算法的动态矩阵预测控制算法在每个采样时刻，用遗传算法优化不同的染色体种群，由最优个体解码得到最优参数集，再计算当前控制序列增量并施加到被控对象。

2Based on the nonlinear theory, we found the reservoir seismic nonlinearprediction and evaluation method technology, it is constituted by three nonlinearmethods and the technologys of the fracture prediction, the seismic inversion and thereservoir synthesis prediction evaluation: The seismic nonlinear prediction ofreservoir fracture is one new method which is composed with the phase spacereconstruction, the nonlinear parameters pick-up technology and the syntheticprediction evaluation method. The reservoir seismic high resolution nonlinearinversion is a new seismic inversion way which the BP algorithm is embeded in theauto-adapted genetic algorithms interior to have the predominances of neural networktechnology and genetic algorithms, it adopts the new embedded GA-BP mixalgorithms and the nonlinear mapping technology, and realizes the inversionautomatically, obtains the high resolution seismic inversion profile. The reservoirseismic nonlinear synthesis prediction and evaluation is a new method which iscombined organically of genetic algorithms and adaptive neural fuzzy inferencesystem, it will optimize the new seismic attribute space which are processed to take the input, uses the new adaptive mix algorithm which GDand LSE(least-square estimation) mix algorithms of ANFIS network insert to the GAinterior and taboo search algorithms is added to the intercrossed operation place,the simulation of the evaluation parameters is used quantitative evaluation guide lineto the reservoir quality and oil-gas distribution.

2基于非线性理论，创建了储层地震非线性预测与评价方法技术，它是由裂缝预测、地震反演和储层综合预测与评价等三大非线性方法与技术组成：储层裂缝地震非线性预测是由相空间重建、非线性参数提取与预测技术及综合评价方法组成的一种新型裂缝预测方法；储层地震高分辨率非线性反演是将BP算法嵌入自适应遗传算法内部所构成的集遗传算法和神经网络技术优势于一体的新的地震反演方法，它采用嵌入式新的混合算法及非线性映射技术，自动实现反演，获得高分辨率地震反演剖面；储层地震非线性综合预测与评价是由遗传算法与自适应神经网络—模糊推理系统有机地相结合而产生的储层预测与评价的新方法，它将优化处理所形成的新地震属性参数空间作为输入，采用将ANFIS网络中的混合算法嵌入到GA算法内部与禁忌搜索算法加在交叉操作处产生新的自适应混合算法，将综合评价参数作为储层品质和含油气性的定量评价指标。

与遗传集相关的网络解释 [注：此内容来源于网络，仅供参考]

biophore：生源体

最小的遗传单位是生源 体(biophore),每个生源体由具有生长和复制能力的各种分子的集群组成,它控制细 胞的特定性质. 一切生物都由生源体组成(1892:56-57). 生源体的可能种类的数目 是无限的,也就是说和分子的可能结合(化合)数同样多.

hereditarily enumerable set：遗传可数集

heptahedron 七面体 | hereditarily enumerable set 遗传可数集 | hereditarily generating system 遗传的生成系

epistasis：遗传隐匿

基因(gene) 单个元素,位等位基因(allele) 数据值,属性,值基因座(locus) 位置,iterator位置表现型(phenotype) 参数集,解码结构,候选解遗传隐匿(epistasis) 非线性染色体又可以叫做基因型个体(individuals),一定数量的个体组成了群体(population),

hereditarily generating system：遗传的生成系

hereditarily enumerable set 遗传可数集 | hereditarily generating system 遗传的生成系 | hereditarily indecomposable continuum 遗传不可分解的连续统

hereditary property：遗传性质

hereditary property 遗传性质 | hereditary set 遗传集 | hereditary system of sets 集的遗传系

hereditary set：遗传集

hereditary property 遗传性质 | hereditary set 遗传集 | hereditary system of sets 集的遗传系

hereditary system of sets：集的遗传系

hereditary set 遗传集 | hereditary system of sets 集的遗传系 | heredity 遗传性

heretical set：异端集

heretability estimate value 遗传力估计值 | heretical set 异端集 | herf 高能率成形

Interspaced Diversity：空间分集

表型多样性:Genetic diversity. | 空间分集:Interspaced Diversity | 遗传多样性:Genetic Diversity