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==模型==
==模型==
An ''artificial neural network'' is a network of simple elements called ''[[artificial neurons]]'', which receive input, change their internal state (''activation'') according to that input, and produce output depending on the input and activation. The ''network'' forms by connecting the output of certain neurons to the input of other neurons forming a [[Directed graph|directed]], [[weighted graph]]. The weights as well as the [[Activation function|functions that compute the activation]] can be modified by a process called ''learning'' which is governed by a ''[[learning rule]]''.<ref name=Zell1994ch5.2>{{cite book |last=Zell |first=Andreas |year=1994 |title=Simulation Neuronaler Netze |trans-title=Simulation of Neural Networks |language=German |edition=1st |publisher=Addison-Wesley |chapter=chapter 5.2 |isbn=3-89319-554-8}}</ref>
An ''artificial neural network'' is a network of simple elements called ''[[artificial neurons]]'', which receive input, change their internal state (''activation'') according to that input, and produce output depending on the input and activation. The ''network'' forms by connecting the output of certain neurons to the input of other neurons forming a [[Directed graph|directed]], [[weighted graph]]. The weights as well as the [[Activation function|functions that compute the activation]] can be modified by a process called ''learning'' which is governed by a ''[[learning rule]]''.<ref name=Zell1994ch5.2>{{cite book |last=Zell |first=Andreas |year=1994 |title=Simulation Neuronaler Netze |trans-title=Simulation of Neural Networks |language=German |edition=1st |publisher=Addison-Wesley |chapter=chapter 5.2 |isbn=3-89319-554-8}}</ref>