1) pan human-based
泛人性化
1.
Nowadays in the P·E teaching appears pan human-based trend,which neglects the essence of P·E teaching and leads to the depression of substantial functions of P·E.
目前在体育教学和训练中出现了泛人性化的倾向,忽视了体育课教学最本质的东西,从而造成体育教学的实质功能下降,长此下去,必将对体育教学改革和学生的身体素质造成负面影响,应该引起我们足够的关注。
2) generalization performance
泛化性能
1.
A new algorithm for improving the generalization performance and real-time ability of feedforward neural networks;
提高前向神经网络泛化性能和实时性能的新算法
2.
Principal component analysis method to improve generalization performance of radial basis function network and its application research;
改善径向基函数网络泛化性能的主成分分析法及应用研究
3.
Support Vector Machine approach is considered a good candidate because of its good generalization performance,especially when the number of training samples is very small and the dimension of feature space is very high.
支持向量机方法被看作是对传统学习分类方法的一个好的替代,特别在小样本、高维情况下,具有较好的泛化性能。
3) generalization
[英][,dʒenrəlaɪ'zeɪʃn] [美]['dʒɛnrələ'zeʃən]
泛化性
1.
Computer simulation indicated that although fewer training samples were adopted,the recognition ratio and the generalization of this neural network was high enough.
结果表明：由减少的训练样本训练网络后，网络的样本识别率仍能达到较高水平，从而实现了减少训练样本和网络训练时间、而神经网络的识别率及泛化性不受影响的良好效
2.
It improved generalization performance of classifier.
该方法把经单独训练的具有一定差异度的单个RBF神经网络加以集成,可提高分类器的泛化性能。
4) generalization capability
泛化性能
1.
To improve the generalization capability of radial basis function(RBF) networks,a two-stage partial least squares(TPLS) learning algorithm was developed.
为提高径向基函数神经网络的泛化性能,提出一种利用分级偏最小二乘回归方法构造径向基函数神经网络的方法,逐步增加网络中的隐节点数直至达到合适的网络规模,消除了训练数据中存在的多重共线性对网络泛化能力的不利影响。
2.
To investigate generalization capability of feedforward neural networks,the influencing factors of generalization capability of feedforward neural networks are analyzed according to function theory.
针对前向神经网络泛化问题,从函数论的角度分析了影响前向神经网络泛化性能的因素。
6) generalization
[英][,dʒenrəlaɪ'zeɪʃn] [美]['dʒɛnrələ'zeʃən]
泛化性能
1.
It will result in poor generalization.
在神经网络的训练过程中存在“过度吻合”的现象 ,即训练样本的误差已达到非常小的一个值 ,但是非训练样本的误差非常大 ,造成神经网络的泛化性能不好。
2.
Generalization of neural network is a very important topic for coordinate transformation in neural computation.
该文简述了小脑模型（ＣＭＡＣ——ＣｅｒｅｂｅｌａｒＭｏｄｅｌＡｒｅｉｃｕｌａｔｉｏｎＣｏｎｔｒｏｌｅｒ）的原理和学习算法，并用仿真方法讨论了在机器人使用的坐标变换关系（输入直角坐标值，输出机器手的关节角度）下ＣＭＡＣ的泛化性能：当泛化率为１∶１００时ＣＭＡＣ仍能正常工作。
补充资料：泛唇泛舌
1.亦作"泛唇泛舌"。 2.议论纷纷。
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