DBN Structure Design Algorithm for Different Datasets Based on Information Entropy and Reconstruction Error

DBN Structure Design Algorithm for Different Datasets Based on Information Entropy and Reconstruction Error

Deep belief networks (DBNs) of deep learning technology have been successfully used in many fields. However, the structure of a DBN is difficult to design for different datasets. Hence, a DBN structure design algorithm based on information entropy and reconstruction error is proposed. Unlike previou...

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Bibliographic Details
Main Authors: Jianjun Jiang, Jing Zhang, Lijia Zhang, Xiaomin Ran, Jun Jiang, Yifan Wu
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Entropy
Subjects:
deep learning
DBN
artificial intelligence
structure design
information entropy
reconstruction error
improved simulated annealing algorithm
Online Access:https://www.mdpi.com/1099-4300/20/12/927

Internet

https://www.mdpi.com/1099-4300/20/12/927

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