2) random weigh method
权重系数变化法
1.
To solve synchronization problem in assignment of machines to operations and the scheduling of operations on the assigned machines in Flexible Job shop Scheduling Problem(FJSP) with multi-objective,a hybrid genetic algorithm combining random weigh method with niche technology was proposed.
提出了一种集成权重系数变化法和小生境技术的混合遗传算法,建立了包括时间、成本、交货期满意度和设备利用率在内的多目标优化模型。
3) method of changing importance coefficient
变权重系数法
1.
On the basis of many methods, the paper provides a new method method of changing importance coefficient, which is widely useful and accurate The method can measure the speed of science and technology progress and its contribution rate correctl
在多种方法的基础上提出了一种适用面广、测算准确的新方法＿变权重系数法，该方法可准确测算科技进步速度及其贡献率。
4) variable weight coefficient
变权重系数
5) change of weighting coefficients
权系数变化
1.
This algorithm builds a nonlinear relationship between the step size and the weighting coefficient,which makes the step size decrease with the change of weighting coefficients until the step size reduces to zero.
该算法建立了步长因子与权系数变化之间的非线性关系,使得步长因子随权系数变化的减小而减小,直至为零,并引入步长向量来实时地逐个调整权系数的每个值,以进一步加快算法的收敛速度。
6) variable-coefficient
变系数法
1.
Results In the process of gearbox fault diagnosis,the variable-coefficient method effectively prevents the influence that output layer′s error can not be transmitted back to the hidden layers and the WNN loses the ability of learning.
方法当网络的输出层节点的输出值与1之差或输出层节点输出值小于等于设定的阈值,使用变系数法调整输出层的误差,然后再利用遗传算法优化小波网络的参数。
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