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gep

  • 网络基因表达式编程;全球经济展望;项目;基因表达式程序设计;生态系统生产总值
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  1. The Function Mining Based on GEP and Its Application in Data Filter

    基于GEP的函数关系挖掘及其在数据滤波中的应用

  2. The Research on Function Mining Based on Dynamic Evaluate Strategy of GEP Algorithm

    基于动态评估策略的GEP算法在函数挖掘中的应用研究

  3. The pharmaceutical engineering construction in our country requires GEP management .

    我国医药工程建设需要GEP管理。

  4. Study on GEP Rule Extraction Algorithm for Network Intrusion Detection

    网络入侵检测的GEP规则提取算法研究

  5. Novel Algorithm GEP Based on Niche Applied to Association Rules Mining

    用于关联规则挖掘的一种基于小生境技术的GEP算法

  6. An Improved GEP Algorithm and Its Application in Evolutionary Modeling

    改进的GEP算法在演化建模中的应用

  7. Attribution Reduction Classification Algorithms Based on GEP and Neural Network

    基于GEP和神经网络的属性约简分类算法

  8. The definition of GEP evolution phase and genome diversity evaluation model were given .

    给出了GEP进化阶段和基因组多样性评估模式的定义;

  9. This GEP method for GPS height fitting is feasible and virtual .

    实验表明,GEP用于GPS高程拟合是可行且有效的。

  10. Non-linear System Recognition Algorithms Based on GEP

    基于GEP的非线性系统辨识算法

  11. An Improved Method for Evolving GEP Neural Network

    一种改进的GEP神经网络演化方法及其应用

  12. Distributed Function Mining for GEP on Grid Services

    基于网格服务的GEP分布式函数挖掘算法

  13. Flood Forecast Algorithm for GEP Based on Attribution Reduction

    基于属性约简的GEP洪灾灾情预测算法

  14. GEP is as simple as Genetic Algorithm , and as functional as Genetic Programming .

    同时具有遗传算法的简单性、也具有遗传编程的功能。

  15. Function Mining for GEP on Dynamic Population

    基于动态种群的GEP函数挖掘算法研究

  16. Gene Expression Programming ( GEP ) algorithm solves the complicated formula mining problems with simple coding .

    基因表达式编程(GEP)算法采用简单编码方式解决了复杂的公式发现问题。

  17. Multiple factor fitting based on GEP

    基于GEP的多因子曲线拟合

  18. As a case study , there is one chapter particularly discussing the relationship between GEP and distributor .

    作为案例分析,本文有一章专门讨论了GEP和经销商的关系。

  19. The Gene Expression Programming ( GEP ) is a new branch of Genetic Algorithm ( GA ) .

    基因表达式编程(GEP)是遗传算法研究的新分支。

  20. Chapter 4 gives the pretreatment method for the military fuzziness data and the algorithm for GEP mining .

    第四章描述了对军史模糊数据预处理的方法及进行GEP挖掘的算法;

  21. For example , the GEP has a number of key objects , as shown in Figure 1 .

    例如,GEP拥有几个关键对象,如图1所示。

  22. These activities , and the production of supporting documentation , are defined as Good Engineering Practice ( GEP ) .

    这些活动以及编制的支持文件都应当按照良好工程规范(GEP)进行规定。

  23. FactorGEP : a novel factorization of polynomial algorithm based on GEP with gene reduction strategy

    基于GEP基因约简策略的多项式因式分解

  24. On analysis of characteristics of GA and GP technologies , the root cause of GEP high efficiency is revealed .

    本文详细介绍了GEP的基本技术,并通过分析GA与GP技术特点,揭示了GEP具有较高效率的根本原因。

  25. It introduces the encoded mode , genetic operator and fitness function of the algorithm of GEP in details .

    介绍了GEP算法的编码方式、适应度函数和遗传操作。

  26. On In-Situ Fibrillation of GEP / PO Blends and Their Morphology , Structure and Properties

    GEP/PO共混物的原位成纤及其形态、结构与性能

  27. In 2001 , F. Candida proposes a new Evolutionary Computation method named Gene Expression Programming ( GEP ) .

    F.Candida于2001年草创了新的进化计算模型基因表达式编程(GeneExpressionProgramming)。

  28. A new mining method of credit evaluation model based on Gene Expression Programming ( GEP ), named GEP-CREDIT , was presented .

    提出了一种基于基因表达式编程(GEP)的信用评估模型挖掘方法GEP-CREDIT。

  29. And GEP is a new adaptive evolutionary algorithm , a method which has been applied to many areas , with very good results achieved .

    时间序列分析是数据挖掘和应用统计学中的一类典型问题,而基因表达式程序设计是一种新的自适应演化算法,该算法已经应用到许多领域中,并且取得了很好的效果。

  30. Experimental results show that the new GEP algorithm to metal fatigue time prediction is more accurate than traditional methods , which has great practical value .

    实验的结果表明,改进的GEP算法对金属疲劳时间预测比传统的方法更准确,有很大的实用价值。