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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。

Finally, this thesis analyses the processing of variable weight on decision evaluation with the model of selecting matriculates based on Attribute Theor~ and analysis the characteristics of the model of selecting matriculates based on Attribute Theory The study in the thesis is helpful to further research and application.

最后,本论文分析了利用基于属性论高考招生模型的评价方法来处理决策评价中随着组态变化而变化的变权问题,并分析了基于属性论高考招生模型在决策评价中的独特性,本论文所做的研究有助于实际应用或进一步分析研究。

You can also set whether an attribute is Keyable or Displayable directly from the Add Attribute dialog box, instead of having to use the Channel Control Editor.

你也可以从添加属性对话框中设置一个属性是否是可动画的或者是否是直接可视的。代替以前不得不使用通道控制编辑器来完成这个工作。

By describing trusty degree of information through membership function defined on the tuple, they broaden relation algebra of general meaning, add an attribute function to every tuple, define meaning of fuzzy attribute, express similar degree in the interval of fuzzy object and entity with semanteme distance in the interval of tuple, and also studys the fuzzy relation operating.

通过定义在元组上的隶属函数反映信息的可信度,对通常意义下的关系代数进行了扩展,每一元组都附一属性函数,定义了模糊属性的含义,用元组间的语义距离表示模糊对象和实体间的相似度,并对该意义下的关系操作进行了相应的研究和讨论。

To define each attribute Power is the difficult Point of multiple attribute decision.

多属性决策的难点在于确定各目标的权系数。

The practicality of using rough set to reduce the date was discussed, in this paper, and the interval-valued continuous attribute discretization by applying self-organizing map neural network clustering was proposed, too. This article proposes a simplified indiscernible matrix's method, which reduces the example's condition attribute and eliminates the redundant information of the date. What's more, it provides the methods used to diagnosis compressor's faults based on the intelligence hybrid system by adopting the MATLAB neural network workbox. At last, the functional modules which make up into intelligence hybrid system for fault diagnosis was introduced, including: data acquisition module, date preprocessor module, date reduction module, neural network module, fault diagnosis module and fault expressing module. Here, the article also gives the flow of work of all the above modules.

论文论述了应用粗集对故障数据进行约简的可行性,并应用自组织映射神经网络的聚类功能,来实现连续属性值的离散化方法;给出了简化的分明矩阵法,并用该方法实现了样本条件属性的约简,消除了样本数据中的冗余信息;采用MATLAB神经网络工具箱建立了压缩机的部分故障类型的智能混合诊断系统;最后介绍了智能混合故障诊断系统的功能模块组成,各功能模块分别为:数据采集模块,数据预处理模块,数据约简模块,神经网络模块,故障诊断模块,故障解释模块;并给出了各功能模块的工作流程。

The results showthat the employees whose culturaltrend are fealty and fatalism,will significantly attribute their success to external factors instead ofinner factors ;the employees whose culturaltrend are masculinist ,authoritarianism,conservatismand fatalism,will significantly attribute their failure to external and uncontrol factors in—stead ofinner factors

&孝亲敬祖&和&宿命自保&文化取向的人,成功外归因的倾向显著地高于成功内归因倾向。2)&男性优越&、&权威守成&、&宿命自保&文化取向的人,失败不可控外归因倾向显著地高于失败内归因倾向。

On the basis of summarizing and discussing the gamma inversion, we point out that an analytic method of volume attribute is very important. The method integrates multiple stepwise regression and cross verification to optimize and combine the attribute, adopts the convolution factor to eliminate frequency difference between the seismic and logging data, uses the neural network as a matching and predicting tool. Because of its religious theoretic base, the method is more accurate than other ones.

在对目前常用的伽玛反演方法进行总结、讨论的基础上,指出地震体属性分析法具有明确的物理意义,有效结合了多元逐步回归和交互验证法进行属性的优选和组合,采用褶积因子消除地震信息和测井信息的频率差异,并以神经网络为拟合和预测手段,具有严谨的理论基础,相比其它几种方法更为准确合理。

To the question of predication in the stock market,I study some informations about data minging predication model of stock price based on neural network.I put forward to do attribute relativity analysis for inputing index variables and outputing object variables with the theory of attribute relativity analysis in the course of designing a neural networ predication model.

本文针对股市预测分析问题,对基于神经网络股市预测的数据挖掘模型进行了研究,提出在模型设计中,采用属性相关性分析理论对输入指标变量和目标变量作必要的相关性分析,以此优选输入变量组合,从而提高网络的预测性能。

This way, when the user changes a setting on the cache node, the Update_Required attribute will be marked dirty, and because it is connected to the camera's triggerUpdate attribute, the triggerUpdate will be marked dirty and thus force the camera to refresh.

这样,当用户改变缓存节点的设定以后,Update_Required属性就会被标记,并且因为它是连接到摄像机的triggerUpdate属性上的,triggerUpdate属性就会被标记,这样就强制摄像机去刷新。

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