介绍了改进的BP网络训练算法。
每一家公司都在利用海量的数据，帮助训练复杂的机器学习算法。
Each company USES huge pools of data to help train sophisticated machine learning algorithms.
该算法由训练和检测两部分组成。
This algorithm is made of training section and detecting section.
为了训练atdwnn，本文提出一种基于时间机理的竞争学习算法。
In order to train ATDWNN, time mechanism based competition learning is also proposed.
为了训练atdwnn，本文提出一种基于时间机理的竞争学习算法。
In order to train ATDWNN, time mechanism based competition learning is also proposed.
应用推荐