融合遗传

  • 网络blending inheritance;Blended inheritance
融合遗传融合遗传
  1. 以同时抑制非最小相位系统的超调、负调和调整时间为目的,合理融合遗传算法的并行搜索结构和模拟退火的可控性概率突跳,提出了设计一类PID控制器的混合优化策略。

    To decrease overshoot , undershoot and settling time of NMPS simultaneously , this paper reasonably combines the parallel search structure of genetic algorithm with the controllable jumping property of simulated annealing to propose a hybrid strategy for designing a class of PID controller .

  2. 本文即是基于上述的讨论而提出的一种用于实时工业控制的应用算法,即是基于分布式融合遗传算法(DFGA)的轧制力预测算法。

    This paper put forward an applicable algorithm for industry control system based on upwards discussion , an iron force forecast algorithm based on distributed fusion genetic algorithm ( DFGA ) .

  3. 基于模糊神经网络融合遗传算法的模拟电路故障诊断法

    A Method for Fault Diagnosis of Analog Circuits Using Fuzzy Neural Network Combined with Genetic Algorithms

  4. 提出了一种融合遗传算法的神经网络控制方法。

    A kind of neural networks control method is proposed in which genetic algorithm and neural networks are mixed .

  5. 因此,本文提出融合遗传-蚂蚁算法的思想,汲取两种算法的优点,克服各自的缺点,提高路由算法的高效搜索和快速全面寻优能力,应用于无线传感器网络中。

    Therefore , this paper proposes the idea of integration of genetic-ant algorithm to learn the advantages of the two algorithms , and improve the efficient of searching capability for wireless sensor networks .

  6. 为了避免单纯使用神经网络易陷入局部极小的缺点,本文还提出了一种融合遗传算法模糊神经网络对容差模拟电路软故障诊断的新方法。

    A new approach of soft fault diagnosis for tolerance analog circuit by combining genetic algorithm , fuzzy logic with neural network is presented , to avoid the shortcoming that the result of the neural network may be the local minimum .

  7. 对蚁群算法基本原理,特征,几种评价指标以及收敛性进行了详细研究分析,在此基础上引入遗传算法,通过融合遗传算法来提高蚁群算法的效率,避免陷入局部最优,解决算法的收敛性问题。

    The basic principles , characteristics , some evaluation indexes and convergence are researched and analyzed in detail , and genetic algorithm is introduced to improve the efficiency of ant colony algorithm , to avoid falling into local optimum , and the convergence issue is solved .

  8. 改进的具体做法就是在保留其正反馈机制,易于并行处理等优点的情况下,针对其收敛速度慢,容易出现停滞,全局搜索能力低等缺点,提出了一种融合遗传算法的改进蚁群算法。

    The specific approach is to retain its positive feedback mechanism , the advantages of easy-to-parallel processing cases , for its convergence speed is slow , prone to stagnation , the global search capability is poor , presents an improved ant colony algorithm fusion of genetic algorithm .

  9. 植物遗传工程四、细胞融合与遗传转化方法

    Plant Generic Engineering IV. Cell Fusion and Genetic Transfer Methods

  10. 植物无融合生殖遗传研究进展&Ⅱ.遗传模式

    Advances in Genetics of Plant Apomixis ──ⅱ . Genetic Models

  11. 茄子体细胞融合与遗传转化研究进展

    Research Progress of Protoplast Fusion and Genetic Transformation of Eggplant

  12. 棉花原生质体供&受体融合及遗传转化研究

    Studies on Donor-Recipient Fusion and Genetic Transformation in Cotton

  13. 经遗传稳定性检验,融合子遗传稳定。

    The heredity of fusant is stable , based on the test of genetic stability .

  14. 葡萄球菌的原生质体融合及遗传转移

    Protoplast fusion and genetic transfer of staphylococci

  15. 近年来,观赏植物原生质体在细胞融合、遗传转化上有了一定发展,为创造观赏植物新种质提供了新途径和方法。

    Moreover , cell-fusion and genetic transformation based on protoplast culture provide a new way to create new ornamental germplasm .

  16. 原生质体是丝状真菌进行细胞融合和遗传转化的重要工具,是进行分子遗传研究的基础。

    Protoplast is an important tool to fuse and transfer of filamentous fungus , which is the foundation of molecular genetics .

  17. 将问题的启发性知识融合进遗传算法,提出了求解该问题的基于整数编码的混合遗传算法。

    Combining with the heuristic knowledge , an integer coding based hybrid genetic algorithm for the mission assigning problem is proposed .

  18. 本文从组织培养、原生质体培养及其融合和遗传转化三个方面介绍了药用植物生物工程学的研究内容及其某些进展。

    We introduced the researches and some advances of medicinal plant biotechnology on tissue culture . protoplast culture . fusion and genetic transformation .

  19. 在遗传学中,克隆技术利用原生质(去除细胞壁的植物细胞)融合与遗传转化改进了细胞培养。

    In genetics , cloning has allowed the improvement of cell cultures through the fusion of protoplasts plant cells from which the cell wall has been removed and genetic transformation .

  20. 近年来,植物组织培养和细胞培养已成为细胞诱变、细胞融合、遗传转化途径培育新品种的基础技术。

    In recent years , plant tissue culture and suspension cell culture have been the basic technologies on breeding new varieties by the approaches of somatic cells mutation , cell fusion and genetic transformation .

  21. 综述了近年来理化因子和原生质体融合等遗传育种手段在国内的一些应用,阐明了这些经典的遗传育种方式在各医药生产及研究领域中的重要作用。

    Some applications of physical and chemical factors induced mutation and protoplast fusion technology in domestic pharmaceutical industry within recent years are reviewed . These classical genetic breeding methods played an important role in production of medicine .

  22. 研究结果表明,融合了遗传算法的协同优化方法能够有效地解决对地观测卫星总体优化设计,学科间耦合设计变量以及耦合状态变量的一致性误差均接近0.01%。

    The numeric results indicate that the standard collaborative optimization can be successfully applied to the multidisciplinary design optimization of earth observation satellites , each coincidence error of coupling design variable and coupling state variable is close to 0.01 % .

  23. 跨界原生质体融合产物细胞遗传物质整合过程中DNA含量变化

    DNA content variation of protoplast fusion products during the process of genetic substance integration between inter Kingdom cells

  24. 分布式贝叶斯数据融合系统的遗传算法优化

    Optimization of Distributed Bayesian Fusion System Based on Genetic Algorithm

  25. 植物无融合生殖的遗传机理和分子机理的研究进展

    Genetic Mechanism and Molecular Basis of Apomixis in Plant

  26. 总结了控制无融合生殖的遗传机理;

    Genetic mechanism is summarized .

  27. 就目前来言,众多学者已经提出了各种方法:遗传算法、蚁群算法、模拟退火算法等优化算法,本文通过比较得出遗传算法、蚁群算法各自的优缺点,融合提出了遗传-蚁群算法。

    So far , there are many scholars have proposed various methods , such as genetic algorithm , ant algorithm , simulated annealing and so on .

  28. 并将基于蚂蚁觅食原理的蚁群算法与改进遗传算法相融合,利用遗传算法确定蚁群算法的最优参数及初始信息素分布,利用蚁群算法求得最终聚类结果。

    This thesis fuses ant colony algorithm and improved genetic algorithm , using genetic algorithm to determine the optimal parameters and initial pheromone distribution for ant colony algorithm , using ant colony algorithm obtain clustering results .

  29. 在此融合方法中遗传算法作为搜索引擎,主要作用于特征抽取的特征搜索过程,过程中涉及变异及交叉过程的参数选择均采用自适应方式确定。

    In this hybridization The genetic algorithm is used as search engine to apply in the procedure of feature gene searching , and the parameters of crossovers and mutations in the procedure would be confirmed by adaptive method .

  30. 最后,将改进后的遗传算法与BP神经网络融合,提出基于遗传算法的BP神经网络融合算法。

    Combining improved genetic algorithm and BP neural network , we put forward the BP neural network based on genetic algorithm .