Regression generative adversarial network based on bounded losses for prediction of free calcium oxide in cement clinker

Author:

Huang Gaolu,Hao XiaochenORCID,Zhang Yifu,Liu Lin,Dang Hui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference52 articles.

1. Just-in time learning for cement free lime prediction with empirical mode decomposition and database monitoring index;Zheng,2019

2. LS-SVR-Based Soft Sensor Model for Cement Clinker Calcination Process;Qiao,2010

3. Latent-enhanced variational adversarial active learning assisted soft sensor;Dai;IEEE Sens. J.,2023

4. Highly accurate energy consumption forecasting model based on parallel LSTM neural networks;Jin;Adv. Eng. Inform.,2022

5. A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network;Liu;Adv. Eng. Inf.,2020

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