How to choose inputs to an artificial network?

如何选择输入到神经网络？

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In essence, learning in artificial neural networks is an optimization process, that is, an artificial network adjusts the weights of the network on its concrete error information.

从本质上讲，人工神经网络的学习过程是一个优化的过程，即根据具体的误差信息来合理地选择网络的权重。

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The core idea of honeypot is to build an artificial network trap to lure attacker, then direct their time and resource to the tarp, thus can also reveal their attacking method and tools.

网络陷阱技术的核心思想是通过人为地设置网络陷阱，来诱骗攻击者，使他们将时间和资源都浪费在陷阱上面，并且暴露自己的攻击方法和工具。

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