更改
无编辑摘要
Advocates of hybrid models (combining neural networks and symbolic approaches), claim that such a mixture can better capture the mechanisms of the human mind.<ref>Sun and Bookman (1990)</ref><ref>{{Cite journal| last1 = Tahmasebi | last2 = Hezarkhani | title = A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation | url = http://www.sciencedirect.com/science/article/pii/S0098300412000398 | year = 2012| journal = Computers & Geosciences | pages = 18–27 | volume = 42| doi = 10.1016/j.cageo.2012.02.004 | bibcode = 2012CG.....42...18T }}</ref>
Advocates of hybrid models (combining neural networks and symbolic approaches), claim that such a mixture can better capture the mechanisms of the human mind.<ref>Sun and Bookman (1990)</ref><ref>{{Cite journal| last1 = Tahmasebi | last2 = Hezarkhani | title = A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation | url = http://www.sciencedirect.com/science/article/pii/S0098300412000398 | year = 2012| journal = Computers & Geosciences | pages = 18–27 | volume = 42| doi = 10.1016/j.cageo.2012.02.004 | bibcode = 2012CG.....42...18T }}</ref>
==Types==
==类型==
<!-- Split to [[Types of artificial neural networks]] -->
<!-- Split to [[Types of artificial neural networks]] -->
{{Main|Types of artificial neural networks}}
{{Main|Types of artificial neural networks}}
人工神经网络有很多类型。最简单的静态类型有一个或多个静态部分,包括一些单元,一些层,单元权重和[https://en.wikipedia.org/wiki/Topology 拓扑学]。动态类型允许这些中的一个或多个在学习过程中变化。后者更复杂,但是可以缩短学习时长并且产生更好的结果。一些类型允许/需要被操作“监督”,而另一些操作独立。一些类型的操作完全在硬件层面,而其他的完全在软件而且在通用计算机上运行。
==Gallery==
==Gallery==