1) fixed iterative step length
固定迭代步长
2) constant iterative step length
固定步长迭代法
1.
For confirm the super parameter impacting directly its generalizing capacity,it proposed an abbreviated algorithm by adopting constant iterative step length to optimize the parameter,which implemented automatically choosing.
支持向量机方法在负荷预测领域已经得到广泛应用,但它在训练数据时仍存在许多弊端,如数据处理量太大、处理速度慢等,针对这些缺点,本文提出了一种基于布尔核函数的SVM(BKF-SVM)预测系方法,为了确定SVM中直接影响其推广能力的超参数,提出了固定步长迭代法,实现了对超参数的自动选取。
3) iteration step size
迭代步长
1.
After studying the Multi-dimensional scaling algorithms and traditional gradient optimization methods,we determine the function relation between iteration step size and network connectivity based on numerical experiments and introduce a connectivity-based distributed weighted multi-dimensional scaling algorithm.
研究了迭代优化方法在无线传感器网络节点定位中的应用,针对多维尺度分析定位技术和传统的梯度迭代优化方法,根据数值实验确定了迭代步长和网络连通度之间的函数关系,提出了一种基于连通度的分布式多维尺度分析节点定位算法(a connectivity-based distributed weighted multidimensional scaling algorithm,简称dwMDS(C))。
5) fixed-point iteration
固定点迭代
1.
Newton iteration method for nonlinear equations in two unknowns has also been expressed as a basic iteration form with simplified ideological structure and convenient form which is called fixed-point iteration.
并将二元非线性方程组的牛顿法表示成了结构形式简明、便捷的基本迭代形式-固定点迭代。
6) fixed source iteration
固定源迭代
补充资料：层层迭迭
1.见"层层迭迭"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条