1) Geometry rapid training
几何快速训练
2) geometric learning
几何训练
1.
Based on the regular partitioning algorithm for learning ordinary feedforward neural net works, a geometric learning algorithm is presented for training robust binary feedforward neural networks, including the robust hidden neurons and robust output neuron.
在二进神经网络的规则划分训练方法基础上 ,针对稳健二进神经网络稳健神经元的特点 ,讨论了稳健分类超平面的几何构造方法 ,并提出了相应的训练算法 ,包括隐层神经元的几何训练和输出神经元的进化训练。
3) fast training algorithm
快速训练算法
1.
According to the distribution variation of the L value with the DNA sequence structure in the hidden Markov model(HMM) training and by improving the traditional multiclass vote model,a fast training algorithm superior to the traditional one is proposed to recognize the intron and exon of the DNA sequence.
利用隐马尔可夫模型训练中不同结构的DNA序列的L值分布范围不同的特点,对传统多类投票模型进行改进,提出一种优于传统算法的快速训练算法,该算法只需训练出一类隐马尔可夫模型参数。
5) fast strength training
快速力量训练法
1.
In sprint training, fast strength training is largely used, while maximal strength training is seldom did because of cognition.
在短跑的力量训练中目前更多采用快速力量训练法,对最大力量训练法,由于存在认识上的差异,训练中选用较少。
6) speed reading training
快速阅读训练
1.
Two speed reading experiment were conducted among junior high school students to explore the effectiveness of speed reading training.
本实验以初中学生为被试 ,围绕着快速阅读训练的作用及其条件问题 ,进行了两个实验。
补充资料：几何
①〈书〉多少：价值～？ㄧ曾～时。②几何学的简称。
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