An Improved Parallel MDBN With AVMD for Nonlinear System Modeling

An Improved Parallel MDBN With AVMD for Nonlinear System Modeling

Nonlinear system modeling using Deep Belief Network (DBN) is currently a research hotspot. However, the training process of DBN needs large amount of data to guarantee accuracy, and the traditional DBN may not meet the requirement of high-precision modeling. In this paper, we first improve the origi...

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Bibliographic Details
Main Authors: Qibing Jin, Hengyu Zhang, Yuming Zhang, Wu Cai, Meixuan Chi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Parallel momentum deep belief networks
adaptive variational mode decomposition
contrast divergence algorithm
nonlinear system modeling
financial stock prediction
Online Access:https://ieeexplore.ieee.org/document/8964400/

Internet

https://ieeexplore.ieee.org/document/8964400/

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