Two-stage coevolution method for deep CNN: A case study in smart manufacturing

Author:

Qu YuanjuORCID,Ma YueORCID,Ming Xinguo,Wang Yangpeng,Cheng ShenghuiORCID,Chu XianghuaORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Software

Reference30 articles.

1. A manufacturing big data solution for active preventive maintenance;Wan;IEEE Trans. Ind. Inform.,2017

2. A deep learning model for smart manufacturing using convolutional LSTM neural network autoencoders;Essien;IEEE Trans. Ind. Inform.,2020

3. Fault detection of harmonic drive using multiscale convolutional neural network;Yang;IEEE Trans. Instrum. Meas.,2020

4. Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations;Huang;J. Intell. Manuf.,2020

5. A hierarchical self-adaptive method for post-disturbance transient stability assessment of power systems using an integrated CNN-based ensemble classifier;Zhang;Energies,2019

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