... 网路学习与应用中心 ELEARC 网路与学习 Network and Learning 学习网路 Learning Network ; associate learning network ...
基于8个网页-相关网页
我们所提出的方法在整个学习架构上要比强健式支援向量机网路与权重式最小平方支援向量机回归法更简易。
Consequently, the learning mechanism of the proposed approach is much easier than the robust support vector regression networks (RSVRNs) approach and the weighted LS-SVMR approach.
也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
要让大脑有好的记忆力与学习力，脑部神经网路的讯息传递功能是重要关键。
To keep good faculty of memory and learning capability of one's brain, the function of message transmission in the nerve system of the brain is the key.
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