With the back-propagation algorithm in hand, we can turn to our puzzle of identifying the language of source code samples.
在掌握了反向传播算法后，可以来看我们的识别源代码样本语言的难题。
where j varies over all the output nodes that receive input from n. Moreover, the basic outline of a back-propagation algorithm runs like this.
这里每个从 n 接收输入的输出节点 j 都不同。 关于反向传播算法的基本情况大致如此。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
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