Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage-Reference-Cited by-同舟云学术

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Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage

Published:2024-01 Issue: Volume:317 Page:100056
ISSN:1944-3986
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Xu Peilong,Liu Hongyan,Zhang Hanwen,Lan Dan,Shin Incheol

Funder

Pukyong National University

Ministry of Trade, Industry and Energy

Ministry of Education

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Publisher

Elsevier BV

Reference25 articles.

1. Construction of water-soil-plant system for rainfall vertical connection in the concept of sponge city: a review;Jiang;J Hydrol,2022

2. How does sponge city construction affect carbon emission from integrated urban drainage system;Su;J Clean Prod,2022

3. Novel RO membranes fabricated by grafting sulfonamide group: improving water permeability, fouling resistance and chlorine resistant performance;Wang;J Membr Sci,2022

4. Study of graphdiyne biomimetic nanomaterials as fluorescent sensors of ciprofloxacin hydrochloride in water environment;Xu;Desalin Water Treat,2023

5. Paving materials and engineering applications of permeable pavement;Liu;World Archit,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm;Applied Sciences;2024-07-01

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