Predictive control of microwave hot-air coupled drying model based on GWO-BP neural network-Reference-Cited by-同舟云学术

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Predictive control of microwave hot-air coupled drying model based on GWO-BP neural network

Published:2022-09-22 Issue: Volume: Page:1-11
ISSN:0737-3937
Container-title:Drying Technology
language:en
Short-container-title:Drying Technology

Author:

Bai Haoran¹^ORCID,Chu Ziyi¹^ORCID,Wang Dongwei¹^ORCID,Bao Yan²,Qin Liyang²,Zheng Yuhui¹,Li Fengmei¹^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Chengyang District, Qingdao City, China

2. China Construction Zhongxin Construction Engineering Co., Ltd., Chengdu, China

Funder

Guangdong Province Key Field Research and Development Plan

Shandong Province Agricultural Machinery Equipment Research and Development Innovation Plan

National Peanut Industry Technology System

China Construction Zhongxin Construction Engineering Co., Ltd.

Natural Science Foundation of Shandong Province.

Publisher

Informa UK Limited

Subject

Physical and Theoretical Chemistry,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/07373937.2022.2124262

Reference21 articles.

1. Hybrid microwave-hot air tunnel drying of onion slices: Drying kinetics, energy efficiency, product rehydration, color, and flavor characteristics

2. Real‐time evaluation of artificial neural network‐developed model of banana slice kinetics in microwave‐hot air dryer

3. Model predictive control and neural network predictive control of TAME reactive distillation column

4. A self-organizing cascade neural network with random weights for nonlinear system modeling

5. Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling

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