更改
→历史
== 历史 ==
== 历史 ==
[https://en.wikipedia.org/wiki/Warren_McCulloch Warren McCulloch] 和 [https://en.wikipedia.org/wiki/Walter_Pitts Walter Pitts]<ref>{{cite journal|last=McCulloch|first=Warren|author2=Walter Pitts|title=A Logical Calculus of Ideas Immanent in Nervous Activity|journal=Bulletin of Mathematical Biophysics|year=1943|volume=5|pages=115–133|doi=10.1007/BF02478259|issue=4}}</ref> 构造了一个关于基于[https://en.wikipedia.org/wiki/Mathematics 数学]和[https://en.wikipedia.org/wiki/Algorithm 算法]的神经网络计算模型，称为阈值逻辑。这个模型为神经网络研究铺平了分为两边的道路。一个关注大脑中的生物学过程，而另一个关注神经网络向[https://en.wikipedia.org/wiki/Artificial_intelligence 人工智能]的应用。这个工作引领了神经网络的工作以及他们与[https://en.wikipedia.org/wiki/Finite_state_machine 有限状态机（Finite state machine）]的联系<ref>{{Cite news|url=https://www.degruyter.com/view/books/9781400882618/9781400882618-002/9781400882618-002.xml|title=Representation of Events in Nerve Nets and Finite Automata|last=Kleene|first=S.C.|date=|work=Annals of Mathematics Studies|access-date=2017-06-17|archive-url=|archive-date=|dead-url=|publisher=Princeton University Press|year=1956|issue=34|pages=3–41|language=en}}</ref>。
[https://en.wikipedia.org/wiki/Warren_McCulloch Warren McCulloch] 和 [https://en.wikipedia.org/wiki/Walter_Pitts Walter Pitts]<ref>{{cite journal|last=McCulloch|first=Warren|author2=Walter Pitts|title=A Logical Calculus of Ideas Immanent in Nervous Activity|journal=Bulletin of Mathematical Biophysics|year=1943|volume=5|pages=115–133|doi=10.1007/BF02478259|issue=4}}</ref> 构造了一个关于基于[https://en.wikipedia.org/wiki/Mathematics 数学]和[https://en.wikipedia.org/wiki/Algorithm 算法]的神经网络计算模型，称为阈值逻辑。这个模型为神经网络研究铺平了两条道路。一个关注大脑中的生物学过程，而另一个关注神经网络向[https://en.wikipedia.org/wiki/Artificial_intelligence 人工智能]的应用。这个工作引领了神经网络的工作以及他们与[https://en.wikipedia.org/wiki/Finite_state_machine 有限状态机（Finite state machine）]的联系<ref>{{Cite news|url=https://www.degruyter.com/view/books/9781400882618/9781400882618-002/9781400882618-002.xml|title=Representation of Events in Nerve Nets and Finite Automata|last=Kleene|first=S.C.|date=|work=Annals of Mathematics Studies|access-date=2017-06-17|archive-url=|archive-date=|dead-url=|publisher=Princeton University Press|year=1956|issue=34|pages=3–41|language=en}}</ref>。
=== 赫布学习（Hebbian learning）===
=== 赫布学习（Hebbian learning）===