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1)  multiple complex adaptability
多重复合适应性
2)  Multi-Adaptability
多重适应性
1.
Then we analyzed the Multi-Adaptability of their teaching in the Non-target language environment.
对考察结果主要从“非目的语因素”的影响和“多重适应性”两方面进行分析,在分析过程中发现其教学特点可归结为“语伴模式”,我们分析了其特征及对孔子学院的借鉴意义。
3)  Multiferroic composites
复合型多重铁性
4)  multiple fitness degree
复合适应度
1.
It advances an improved particle swarm optimization algorithm-Best Influential PSO(BIPSO),which regards multiple fitness degree(SE and EU) as the guildline of BIPSO and compares it with BP,GA and PSO algorithms.
系统地介绍了粒子群优化算法,将粒子群优化算法用于BP神经网络的学习训练,提出了一种改进的粒子群算法——最具影响粒子PSO算法BIPSO,并利用复合适应度即均方误差和误差均匀度之和作为BIPSO训练神经网络的指标,并对它与其他的神经网络训练算法诸如BP算法、GA算法、PSO算法进行了比较。
5)  adaptive complex
适应复合体
6)  adaptive weight
适应性权重
1.
For further studies on the dampers optimal placement to control the wind-induced response of structures,the multi-objective optimization approach based on the genetic algorithm was used to investigate the reasonable distribution of the dampers in the transmission towers and an ameliorative adaptive weight method,generation compared weight method,was presented.
为了更深入的研究结构风振控制中阻尼器的位置优化问题,以遗传算法为基础,应用多目标优化方法对输电塔阻尼器的合理布置进行了探讨,并提出了一种改进的适应性权重———代间比较权重。
2.
This paper proposes an adaptive weight genetic algorithm to optimize the swim-out torpedo tube design,which is nonlinear and multi-objective optimization problem.
为了对自航式鱼雷发射管进行优化设计,采用适应性权重遗传算法解决多目标非线性优化问题。
3.
For the optimization of hydrodynamic coefficients in submarine space motion equations,an adaptive weight immune genetic algorithm was used to optimize the hydrodynamic coefficients.
针对潜艇空间运动方程中的水动力系数优化问题,采用一种基于适应性权重免疫遗传算法解决多目标非线性优化问题。
补充资料:适应度
      见适应。
  

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