GA

abbr.  31号元素镓的符号
n.  果阿(印度西南部海岸的小地区); (西非)加族;加族人;加族语
adj.  (西非)加族的;加族人的;加族语的

比较级:gaer

医学

BNC.23759



双语例句

  1. Methods Optimize the routes by using the genetic algorithm ( GA) whose crossover operator is improved.
    方法利用遗传算法进行优化,对遗传算法的交叉操作进行改进。
  2. Then we applies GA to optimized design of analog active filter, its result testifies the efficiency of algorithm.
    将其应用到模拟有源滤波器参数的优化设计中,仿真结果验证了算法的有效性。
  3. Study is made of Ga recovery process from ISP or fuming furnace granulation slag.
    对鼓风炉(ISP法)或烟化炉水淬渣中回收镓的工艺进行了研究。
  4. Through comparison with standard GA and the improved self-adaptive GA, simulation example testifies the latter efficiency.
    通过与普通遗传算法的对比,仿真算例证实了改进后的自适应遗传算法对于这类问题的有效性。
  5. We studied the implicit parallelism of GA, and presented a new method of calculation.
    讨论了GA的隐并行性,并给出了一种新的推导计算方法。
  6. Study of Growth and Properties of ( Ga, Mn) N Films Grown on Sapphire and Quartz Substrate
    蓝宝石和石英衬底上(Ga,Mn)N薄膜的生长和特性研究
  7. The results showed that GA could be applied in the medium optimization and better results were obtained.
    实验结果表明遗传算法能够成功地用于该培养基优化,并取得了更好的发酵效果。
  8. A method in region deploying based on GA was proposed for the aerial refueling mission in threat existing environments.
    对存在敌威胁时的空中加油任务,提出了一种基于遗传算法的区域配置方法。
  9. Considering the characteristic of this model the BPSO and GA are united to solve this problem.
    根据优化模型的特点,提出了改进的离散二进制粒子群优化算法和遗传算法相结合的求解方法。
  10. Fast-tracking control arithmetic and application based on GA and HSIC
    一种基于GA和HSIC的快速跟踪控制算法及应用研究
  11. In some way, PSO and GA are uniform in updating process.
    从某些角度而言,PSO和GA在更新与迭代的过程是统一的。
  12. On this basis, BP ANN model is optimized using real-coded genetic algorithm ( GA), and a GA-BP model is constructing in this paper.
    在此基础上,本文采用实数编码的遗传算法(GA)对BP神经网络模型进行改进优化,构造了一种GA-BP模型。
  13. The result show that GA can be satisfied to the optimization design.
    实例计算表明,该方法可以获得比较满意的优化设计结果。
  14. Research on multi-objective optimization for shortest path algorithm based on GA
    基于GA的网络最短路径多目标优化算法研究
  15. Study on Adaptive Modulation based on GA and PSO
    基于遗传算法和微粒群算法的自适应调制研究
  16. On the basis of numerical simulation of cooling process, we select GA to solve the problem.
    在冷却过程数值模拟的基础上,采用遗传算法对该问题进行求解。
  17. Hybrid optimization algorithm maintaining independence of PSO and GA
    一种保持PSO与GA独立性的混合优化算法
  18. This article will introduce the principle of GA, and show some successful application recent year.
    本文将介绍GA的原理,并向大家展示最近几年GA的一些成功应用。
  19. The inversion result by GA is much better than the re-cult reached by linear inversion method.
    本文利用遗传算法对野外数据进行了反演,与线性反演结果对比,效果得到明显提高。
  20. On the Models of DNA Classification Based on GA and Multiple Sequence Alignment
    DNA分类中的遗传算法和多序列比对模型研究
  21. Finally, forecasting the application of GA in CAD.
    最后对遗传算法在CAD中的应用作了展望。
  22. In this paper the application of GA in FIR filter design with frequency sampling method is presented.
    本文介绍了遗传算法在频率抽样法滤波器设计中的应用;
  23. Fuzzy clustering algorithm based on GA paralleled with the PSO
    基于GA与PSO并行的模糊聚类算法
  24. Based on Markov random field, an improved GA image restoration method is presented.
    本文基于马尔可夫随机场,提出了改进的遗传图象恢复方法。
  25. Compared with genetic algorithm ( GA), it was shown that EGSA was better than GA.
    比较结果表明:本文建议的方法更有效和准确。
  26. In this paper, according to the method of the GA, we choose preferable coding method and genetic operator to solve the layout of the object.
    通过对布局问题的分析和遗传算法的研究,对编码方法、遗传算子等做了改进,提出了基于遗传算法的布局求解方法研究。
  27. Then, it gave the solution procedure of adaptive mutation particle swarm optimization algorithm ( AMPSO) and compared it with that of GA to show the validity of this algorithm.
    然后给出了最优客户创意的自适应变异微粒群(AMPSO)算法的求解方法,并与遗传算法加以比较,证明该算法的有效性和先进性。
  28. Application of MATLAB in the Simulation of GA Fuzzy Control System
    MATLAB在遗传模糊控制系统仿真中的应用
  29. Moreover, it could solve incapability of seeking nearly optimal solution in short time by GA alone.
    同时也解决了单独利用GA往往不能在短时间内寻找到接近最优解的这一问题。
  30. Specialty Variants of GA's: Parallel GA's, Diffusion GA, Micro-GA and Cellular automata.
    遗传演算法专业变数:并行遗传演算法,扩散遗传演算法,微系统遗传演算法和细胞自动机。