A knowledge transfer online stochastic configuration network-based prediction model for furnace temperature in a municipal solid waste incineration process-Reference-Cited by-同舟云学术

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A knowledge transfer online stochastic configuration network-based prediction model for furnace temperature in a municipal solid waste incineration process

Published:2024-06 Issue: Volume:243 Page:122733
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yan Aijun,Wang Ranran,Guo Jingcheng,Tang Jian

Funder

National Natural Science Foundation of China

Beijing University of Technology

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Soft sensor design using transductive moving window learner;Alakent;Computers & Chemical Engineering,2020

2. Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner;Alakent;Journal of Process Control,2021

3. Dynamic simulation of a municipal solid waste incinerator;Alobaid;Energy,2018

4. Modeling of dynamic data-driven approach for the distributed steel rolling heating furnace temperature field;Bao;Neural Computing and Applications,2022

5. Convergence and consistency of recursive least squares with variable-rate forgetting;Bruce;Automatica,2020

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