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.
计算机运用人工的神经网路（ANN）和生长和学习网路（GAL）进行分类，这两个网路都是按照与某一特殊诊断相关的标准声音来设计和培养的。
The classification uses an Artificial Neural Network (ANN) and a Grow and Learn (GAL) network. These are trained with standardized sounds associated with a specific diagnosis.
计算机运用人工的神经网路（ANN）和生长和学习网路（GAL）进行分类，这两个网路都是按照与某一特殊诊断相关的标准声音来设计和培养的。
The classification uses an Artificial Neural Network (ANN) and a Grow and Learn (GAL) network. These are trained with standardized sounds associated with a specific diagnosis.
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