动态进化 meaning in English
dynamic evolution
Examples
- So we create an ontology represent language ( orl ) , and based on orl , we construct a framework to answer for ontology dynamic evolution , which keep the consistency between ontology and the practical world , and make the basic of shared - comprehend - bases . 2
为此，本文构建了一个本体表示语言orl ，并在此语言的基础上实现了本体的动态进化，保证了系统本体与外部世界的动态统一，为“理解的共享型建立”奠定基础。 - In order to improve the agility of integration system , this paper analysis the fault effect of heterogeneous data flow in the integration system ; design the integration mode of agile system ; the evaluation is done base on the integration mode ; the gateway system technology is proposed to integrate the heterogeneous system ; also this paper carries out the concept of gateway system , the topology of gateway system , the data filter protocol in the gateway system , the data filter protocol algorithm , the data flux in the gateway system and the work capability of gateway system .
本文以提高系统敏捷性为目标，在大规模、复杂、动态进化系统环境下，考虑了大量需要交互的数据的异构性对敏捷系统性能造成的不良影响，设计了敏捷系统集成模型，并且对这个模型作了评价。在集成异构系统时采用的关键技术是网关系统技术，本文详细讨论了网关系统的概念，网关系统的网络拓扑结构，数据过滤协议，数据过滤算法，网关系统中网关节点中的数据流量及网关系统的工作能力，有利于保证集成子系统服务质量的要求，在一定程度上解决了上述单节点网关存在的缺点。 - A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand . deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time , the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm . moreover , by introducing memory function and vaccine inoculation mechanism of immune system , at the same time , deca can converge to the optimal solution rapidly and stably . the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models . the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples , and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
针对模糊聚类算法不适应复杂环境的问题,提出了一种新的动态进化聚类算法,克服了传统模糊聚类建模算法须事先确定规则数的缺陷.通过改进的遗传策略来优化染色体长度,实现对聚类个数进行全局寻优;利用fcm算法加快聚类中心参数的收敛;并引入免疫系统的记忆功能和疫苗接种机理,使算法能快速稳定地收敛到最优解.利用这种高效的动态聚类算法辨识模糊模型,可同时得到合适的模糊规则数和准确的前提参数,将其应用于控制过程可获得高精度的非线性模糊模型