Optimization of BP neural network for fault parameter prediction in nuclear power plants utilizing the firefly algorithm-Reference-Cited by-同舟云学术

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Optimization of BP neural network for fault parameter prediction in nuclear power plants utilizing the firefly algorithm

Published:2024-08-27 Issue: Volume: Page:1-12
ISSN:0022-3131
Container-title:Journal of Nuclear Science and Technology
language:en
Short-container-title:Journal of Nuclear Science and Technology

Author:

Liu Zhen¹²,Liu Tao³,Peng Guowen¹

Affiliation:

1. School of Resources Environment and Safety Engineering, University of South China, Hengyang, China

2. The Second Affiliated Hospital of University of South China, Hengyang, China

3. School of Nuclear Science and Technology, University of South China, Hengyang, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00223131.2024.2390599

Reference35 articles.

1. An interpretable convolutional neural network for nuclear power plant abnormal events

2. Long-term operation monitoring strategy for nuclear power plants based on continuous learning;Yu Y.;Ann Nucl Energy,2022

3. Deep-learning-based system-scale diagnosis of a nuclear power plant with multiple infrared cameras;Jae I;Nucl Eng Technol,2023

4. Design of a supervisory control system for autonomous operation of advanced reactors;Dave AJ;Ann Nucl Energy,2023

5. Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network

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