A Novel Variable Selection Algorithm for Soft Sensor Using Gated Recurrent Unit and Garrote Variable Attention Mechanism
Author:
Affiliation:
1. School of Internet of Things Engineering, Jiangnan University,Wuxi,China,214122
Funder
National Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240735.pdf?arnumber=10240735
Reference17 articles.
1. Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes
2. Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development
3. On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
4. Maximal Information Coefficient-Based Two-Stage Feature Selection Method for Railway Condition Monitoring
5. Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote
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