第二层计算局部节点的加权响应和，混合参数作为学习加权。

The second layer accumulates the responses of these local nodes, weighted by the learning mixing parameters.

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与之相反，结束节点只具有局部效果；它只会终止它到达的那个分支。

In contrast, the end node only has a local effect; it only ends the single branch through which it was reached.

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因为只要求知道每个节点的局部信息，故算法是分布式的。

The algorithm is distributed because it requires only local information at every node.

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