人工神经网络模型

人工神经网络模型

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Contributor(s)

Initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Method-focused categoriesData-perspectiveIntelligent computation analysis

Model Description

Chinese {{currentDetailLanguage}} Chinese

人工神经网络模型

 

BP模型的特点是信号由输入层单向传输到输出层,同一层神经元之间不传递信息,每个神经元与邻层所有神经元相连,连结权重用表示,各神经元的作用函数为Sigmoid函数。设输入层有p节点,输出层有q节点,k-1层的任意节点用i表示,k层的任意节点用j表示,k+1层的任意节点用l表示,则:

式中,k-1层节点i的输出;k层节点j的输入;k层节点j的输出。

    设训练样本对为(XYe)Xp维向量,加到输入层;Yeq维向量,对应于期望的输出;网络的实际输出也是q维向量。网络在接受样本对的训练过程中,采用BP法,将输出值与实际期望值进行比较,并视其误差的方向与大小,反向调整各层节点的权值,使网络的输出值逐步逼近实际期望值,反复学习,直达到理想的误差精度为止。

参考文献

洪伟,吴承祯,何东进:基于人工神经网络的森林资源管理模型研究。自然资源学报,1998,13(1)

How to Cite

《资源环境数学模型手册》 (2018). 人工神经网络模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/58f3f21a-f472-48a6-b35f-5d9e27133d4a
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History

Last modifier : 
zhangshuo
Last modify time : 
2021-01-07
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Contributor

Initial contribute: 2018-12-04

Co-contributor(s)

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
zhangshuo
Last modify time : 
2021-01-07
Modify times : 
View History

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