RETRACTED: Genetic Algorithm to Optimize the Design of High Temperature Protective Clothing Based on BP Neural Network

Xu, Feng; Mo, Ling-Yu; Chen, Hong; Zhu, Jia-Ming

doi:10.3389/fphy.2021.600564

BRIEF RESEARCH REPORT article

Front. Phys. , 17 February 2021

Sec. Statistical and Computational Physics

Volume 9 - 2021 | https://doi.org/10.3389/fphy.2021.600564

RETRACTED: Genetic Algorithm to Optimize the Design of High Temperature Protective Clothing Based on BP Neural Network

Retracted

A retraction of this article was approved in:

Retraction: Genetic algorithm to optimize the design of high temperature protective clothing based on BP neural network
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Feng Xu¹

Ling-Yu Mo²

Hong Chen³

Jia-Ming Zhu¹*

¹School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China
²School of Economics, Hefei University of Technology, Hefei, China
³School of Languages and Media, Anhui University of Finance and Economics, Bengbu, China

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Xu F, Mo L-Y, Chen H and Zhu J-M (2021) Genetic Algorithm to Optimize the Design of High Temperature Protective Clothing Based on BP Neural Network. Front. Phys. 9:600564. doi: 10.3389/fphy.2021.600564

Received: 30 August 2020; Accepted: 15 January 2021;
Published: 17 February 2021; Retracted: 19 September 2023.

Edited by:

Shaohui Wang, Louisiana College, United States

Reviewed by:

Yizhi Chen, Zhejiang Gongshang University, China
Hongli Yang, Shandong University of Science and Technology, China
He Xin, Shenyang Normal University, China
Dengbao Yao, Anhui University, China
Beilei Tong, Southwest University of Science and Technology, China

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RETRACTED: Genetic Algorithm to Optimize the Design of High Temperature Protective Clothing Based on BP Neural Network

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