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全局最优值 meaning in English

global optimum

Examples

  1. Considering the shortage of bp neural network such as too long training time and easily converging the local optimal value , the paper applies the contractive mapping genetic algorithm to bp neural network1 training , which make it consequently converges to the globe optimal value more quickly
    考虑到bp神经网络训练时间长、容易收敛到局部最优的不足,本文将压缩映射遗传算法应用到bp神经网络的训练之中,使其较快地收敛到全局最优值
  2. ( 1 ) the paper has studied the contractive mapping genetic algorithm , which can be converged to a global optimal solution proved by fixed - point theorem of banach space . it remedies the shortage of standard genetic algorithm . furthermore , the paper discusses the genetic operation in the algorithm such as the coding , select , cross over and mutation etc . it will be help to the next work about fusion with the neural network
    本文融合神经网络技术和遗传算法,对轨道交通引起的地面振动进行了正分析和反演,并利用计算机技术实现了地面振动的三维动画模拟,这主要包括: ( 1 )研究了压缩映射遗传算法,利用banach空间的不动点定理证明了压缩映射遗传算法可以收敛到全局最优值,弥补了标准遗传算法不能收敛至全局最优值的不足。
  3. Abstract : simulated annealing and multigroup parallel evolution are two helpful methods which can improve the performance of genetic algorithm . these two ideas are well combined in this paper , and a new algorithm is derived , that is the multigroup parallel genetic algorithm based on simulated annealing method . simulation results show that this method not only quickens the computation , but also improves the convergence efficiency , thus produces more satisfactory results
    文摘:模拟退火和多种群并行遗传进化是两种较好的改进遗传算法性能的方法.将这两种思想有机地结合起来,提出了一种基于模拟退火机制的多种群并行遗传算法.仿真结果表明,该算法不仅能增强算法的全局收敛性,还能加快遗传进化速度,得到满意的全局最优值

Related Words

  1. 全局比例
  2. 全局栈
  3. 全局方式
  4. 全局测试
  5. 全局功能
  6. 全局变换
  7. 全局程序控制
  8. 全局数据管理
  9. 有关全局
  10. 全局语境
  11. 全局最优化理论
  12. 全局最优解
  13. 全局坐标参考面
  14. 全矩阵
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