A negative correlation ensemble transfer learning method for fault diagnosis based on convolutional neural network

A negative correlation ensemble transfer learning method for fault diagnosis based on convolutional neural network

With the development of the smart manufacturing, data-driven fault diagnosis has receiving more and more attentions from both academic and engineering fields. As one of the most important data-driven fault diagnosis method, deep learning (DL) has achieved remarkable applications. However, the DL bas...

Full description

Bibliographic Details
Main Authors: Long Wen, Liang Gao, Yan Dong, Zheng Zhu
Format: Article
Language:English
Published: AIMS Press 2019-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
negative correlation learning
transfer learning
ensemble learning
convolutional neural network
fault diagnosis
Online Access:https://www.aimspress.com/article/10.3934/mbe.2019165?viewType=HTML

Internet

https://www.aimspress.com/article/10.3934/mbe.2019165?viewType=HTML

Similar Items