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遗传集

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The heuristic method emploies a genetic algorithm in reducing the redundant attributes of all attributes. Besides taking fitness function as its heuristic function for its selection operation, the genetic algorithm uses the attribute\'s information entropy to construct the heuristic function for its mutate operation, and in this way it markedly elevate the convergence speed of attribute reduction.

启发式方法采用遗传算法进行属性约简,除了存在于选择操作的适应度启发函数外,还在变异操作中以信息熵为基础构造了启发函数;穷举方法基于循环队列自底向上约简,通过剪枝有效地提高了属性约简集的穷举速度。

In the search step of thepatter search algorithm,a finite set of points is obtained by a process similar to genetic algorithm.

在模矢搜索方法的搜索步,用一个类似于遗传算法的方法产生一个有限点集。

Optimum Results are a solution set, and we can choose a set of appropriate parameters artificially.

优化结果为一个解集,从中人工选择一组最适合的结构参数作为遗传优化的结果。

Parallel genetic algorithm is applied to the parametric optimization design of vehicle suspensions in this paper.

本文将并行遗传算法应用于汽车悬架系统参数优化设计,并在集群系统上对其进行了测试。

Then the collecting multicast paths' set and choice of path with genetic algorithm are presented.

在此基础上提出了多播路径集获取算法和遗传算法多播路径选择。

Finally, base on research of genetic algorithm and rough sets, analysis of the existing primary algorithm of attribute reduction based on the traditonal genetic algorithm, an improved algorithm of rough set attribute reduction base on dependability and genetic algorithm is presented in this paper.

最后,对遗传算法和粗糙集理论研究的基础上,通过分析现有的约简算法,提出一种基于依赖度的属性约简改进算法,改进后的算法可以求取属性的一个约简。

It is shown by the analysis of its time complexity and completeness as well as the numerical experiment that the proposed algorithm can achieve the goal of completeness and rapid convergence.

对算法进行的时间复杂度和完备性分析以及数值实验表明,基于遗传算法的粗糙集属性约简算法具有完备、快速收敛等特点。

Firstly, a dynamic reduction method, which integrates genetic algorithm and resample technology, is introduced. Then dynamic reduction method is used to get reduct sets that have stable and good generalization ability.

首先,通过结合遗传算法求约简和重采样技术介绍了一种动态约简方法,通过动态约简方法可以获得稳定的、泛化能力较强的属性约简集。

So this paper combines symbolist, connectionlist and genetic algorithm, while introduces the fuzzy set theory, information theory, software redundancy and database techniques etc.

针对这些问题,本文结合符号主义、联结主义和遗传算法,同时引入模糊集理论、信息论、软件冗余和数据库技术等来研究和解决智能诊断技术中的一些关键问题,并对新一代智能集成诊断系统的理论和方法进行了研究。

In this paper, a brief presentation on the development of irrigation and drainage engineering and the basic concept of CI is given firstly.

该文在对灌排工程的发展现状和计算智能的基本概念进行简要介绍的基础上,分别就计算智能中常用的理论方法如模糊集理论、人工神经网络、遗传算法、模拟退火算法、粗集理论以及混沌理论等,在灌排工程的系统规划、建模预测、工程设计、综合评判以及优化运行等方面的应用研究现状进行了简要回顾与综合评述,最后对计算智能在灌排系统工程应用中存在的问题及其发展前景进行了展望。

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