1) the smallest line approach
最小边法
1.
But these two approaches all have the obvious flaw in the actual operation process, this paper proposes the smallest line approach of one new optimizing network route, this approach has overcome insufficiency of these two approaches in the certain degree.
但这两种方法在实际操作过程中都存在明显的缺陷,文章提出了一种全新的优化网络路线的方法——最小边法,该方法在一定程度上克服了这两种方法的不足。
2) min-max margin based approach
最小-最大边界法
1.
Two new concepts: min-max margin based approach and uncertainty threshold on samples were introduced as a rule of active sample selecting to guarantee that the most informative samples are annotated, thus reducing the annotation and time cost greatly.
针对模糊神经网络分类器设计过程中所遇到的样本采样与标注过程耗时、代价大的问题,提出了一个新颖的模糊神经网络分类器主动学习方法,以最小-最大边界法以及确定样本的不确定性阈值两个新概念为主动样本选择准则,确保选择其中信息量尽可能大的样本进行标注,使得网络设计过程中对未标注样本的标注工作量和时间大为减少。
3) themethodof"theadding rows with min"
"加边补最小值"法
4) Minimum convex polygon
最小凸多边形法
5) least squares methods/virtual boundary element methods
最小二乘法/虚边界元法
6) Least Chimb
最小凸边
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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