自组织神经网络模型

自组织神经网络模型

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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

自组织神经网络模型

 

自组织神经网络含两个层(一个是输入层,另一个是输出层),激活函数(也称为传递函数)指导着像元的分类,根据WTA(赢者通吃)原则,把每个输入矢量耦合为一个输出,传递函数则计算出输入矢量与输出层的某个神经元的权重矢量的相似度:

 

参考文献:

Fouilloux AIaquinta J:应用自组织神经网络方法根据卫星观测估计云的特性。Remote Sensing of Environment1998,66

How to Cite

《资源环境数学模型手册》 (2018). 自组织神经网络模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/33d3d9de-2c07-48d3-9d5f-3faf62e81920
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Last modifier : 
wzh
Last modify time : 
2020-12-24
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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 : 
wzh
Last modify time : 
2020-12-24
Modify times : 
View History

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