A Soft Sensor Model for Predicting Cement-Specific Surface Area Based on Convolution Fast Recurrent Unit Network
Author:
Affiliation:
1. Instrumentation Department, School of Electrical Engineering, Yanshan University, Hebei, Qinhuangdao, China
2. Instrumentation Department, Yanshan University, Hebei, Qinhuangdao, China
Funder
National Natural Science Foundation of China
Hebei Provincial Natural Science Foundation
Hebei Provincial Science and Technology Plan Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10003029/09942951.pdf?arnumber=9942951
Reference34 articles.
1. Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application
2. Soft sensor of vertical mill material layer based on LS-SVM;cai;Proc 2nd Int Conf Meas Inf Control,2013
3. Faster training of very deep networks via p-norm gates
4. Online Prediction Method of Cement Clinker f-Cao Based on K-ELM
5. Soft Sensor Measurement Research on Resolution Ratio of Cement Kiln Tail Based on IPSO-SVR
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