English translation for "连续数据"

continuous data

Example Sentences:

	1.	113 run : a number of consecutive data elements represented in the decoding process 行程：在解码过程中连续数据元素出现的个数。
	2.	Concatenated data set 连续数据组
	3.	A dynamic routing algorithm based on application rules and probability in wireless sensor networks was proposed 针对连续数据分发型传感器网络，提出了一种基于应用规则和概率的动态路由算法rpdr 。
	4.	An abstract data type is just a contiguous chunk of data associated with an address point to it , cast it about , pick it apart , and move on swiftly 抽象数据类型只是与地址相关联的连续数据块指向它，对它进行强制转换，对它进行解析，然后快速向前推进。
	5.	This method is best used for normal distribution curves , but does not work well if the distribution includes a large number of values that occur in a narrow group in the continuous data 此方法最适用于正常分布曲线，但如果分布包含的值数量很大，并且这些值在连续数据的窄组中，则此方法的使用效果不是很好。
	6.	The analysis and design class diagram are given . the sequence indication stochastic simulation algorithm based on indicator kriging is realized . the algorithm applies to discrete and continuous variable has no restrict to data distribution 系统给出了沉积相随机建模的分析类图和设计类图，实现了基于指示克里金估计的序贯指示随机模拟算法，该算法对离散数据和连续数据都适用，不要求数据的分布特征，可以较好的模拟相特征。
	7.	Firstly , influence factors of generalization of neural network are presented in this thesis , in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability , a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes , training epochs , initial weights , and so on ; secondly , through establishing integrating neural network and introducing data fusion technique , the integrality and precision of acquired knowledge is greatly improved . then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement , knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system , by completing missing value data and eliminating unnecessary attributes , discretization of continuous attribute , reducing redundancy , extracting rules in this thesis . finally , rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge , in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement , and rnn can improve the speed and quality of knowledge acquirement greatly 本文首先讨论了影响神经网络的泛化能力的因素,提出了一种新的结构自适应神经网络学习算法,在新方法中,采用了遗传算法对神经网络的结构参数(隐层节点数、训练精度、初始权值)进行优化,大大提高了神经网络的泛化能力和知识动态获取自适应能力;其次,构造集成神经网络,引入数据融合算法,实现了基于集成神经网络的融合诊断,有效地提高了知识获取的全面性、完善性及精度;然后,针对知识获取过程中所存在的不确定性、不完备性等问题,探讨了运用粗糙集理论的知识获取方法,通过缺损数据补齐、连续数据的离散、冲突消除、冗余信息约简、知识规则抽取等一系列的算法实现了智能诊断的知识规则获取;最后,将粗糙集理论与神经网络相结合,研究了粗糙集-神经网络的知识获取方法。

Similar Words：

"连续束流直线加速器" English translation, "连续束直线加速器" English translation, "连续竖龙骨" English translation, "连续竖窑" English translation, "连续竖甑" English translation, "连续数据采集传感器" English translation, "连续数据集" English translation, "连续数据集组织" English translation, "连续数据库" English translation, "连续数据组" English translation