Single Room Fire Traceability and Prediction Models Based on Deep Learning Methods-Reference-Cited by-同舟云学术

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Single Room Fire Traceability and Prediction Models Based on Deep Learning Methods

Published:2024-01-22 Issue: Volume: Page:1-29
ISSN:0010-2202
Container-title:Combustion Science and Technology
language:en
Short-container-title:Combustion Science and Technology

Author:

Cao Zhiyuan¹,Hu Linxiang²,Yang Manjiang³,Wu Fangzheng⁴,Liu Xiaoping¹

Affiliation:

1. School of Civil Engineering, Hefei University of Technology, Hefei, AnHui, China

2. China Southwest Architecture Design and Research Institute Co. Ltd, Chengdu, SiChuan, China

3. China Ship Development and Design Center, Wuhan, HuBei, China

4. Anhui Pengder Imformation Technology Co. Ltd, Hefei, AnHui, China

Funder

Key Projects of Science and Technology Research and Development Plan of China State Railway Group Co., Ltd

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00102202.2024.2306891

Reference40 articles.

1. Heat release rate: The single most important variable in fire hazard

2. Fire Induced Flow Field - Theory And Experiment

3. Experimental and numerical studies of smoke dynamics in a compartment fire

4. Experimental Studies on Minimum Heat Release Rates for Flashover with Oxygen Consumption Calorimetry

5. Effects of Learning Parameters on Learning Procedure and Performance of a BPNN

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