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1)  searching for more adaptive learning rate
搜索较优步长
1.
In view of the limitations,this paper presents a BP neural network based on searching for more adaptive learning rate algorithm.
针对传统BP学习算法收敛速度慢、对步长依赖明显等缺点,提出一种利用搜索较优步长的BP算法。
2)  step-size search
步长搜索
1.
Convergent analysis of the memory gradient method based on a new step-size search;
基于新的步长搜索下的记忆梯度法收敛性分析
3)  step-length searching method
步长搜索法
1.
According to optimization design theory of mechanism,step-length searching method has been used for the optimization design,as a result,several groups of schemes whose index which are all better than that of the original mechanism have obtained,and the maximum press angle is much smaller than the original one,whic.
根据机构优化设计理论,用步长搜索法对其进行了优化设计,优化出多组以上指标均好于原机构的方案,并且最大压力角比原机构减小很多,其运动学性能超过原机构水平。
4)  Wolfe step size rule
Wolfe步长搜索
5)  Armijo step size rule
Armijo步长搜索
1.
Global convergence results for a new three-term conjugate gradient method with Armijo step size rule;
结合Armijo步长搜索的新三项共轭梯度算法及其收敛特征
2.
The convergence properties of the new memory gradient method with Armijo step size rule were discussed without assuming that the sequence of iterates is bounded.
在去掉迭代点列有界和Armijo步长搜索下 ,讨论了算法的全局收敛性 ,同时给出了结合FR、PR、HS共轭梯度算法的修正形式。
6)  small pace search
小步长搜索
1.
The optimization of injection molding process parameters based on the small pace search method;
基于小步长搜索法的注射成型工艺参数优化
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