Multi-output neural network model for predicting biochar yield and composition-Reference-Cited by-同舟云学术

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Multi-output neural network model for predicting biochar yield and composition

Published:2024-10 Issue: Volume:945 Page:173942
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Wang Yifan,Xu Liang,Li Jianen,Ren Zheyi,Liu Wei,Ai Yunhe,Zhou Yutong,Li Qiaona,Zhang Boyu,Guo Nan,Qu Jianhua,Zhang Ying

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference51 articles.

1. Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents;Aghav;J. Hazard. Mater.,2011

2. Restoration of soil quality using biochar and brown coal waste: a review;Amoah-Antwi;Sci. Total Environ.,2020

3. Artificial neural networks: fundamentals, computing, design, and application;Basheer;J. Microbiol. Methods,2000

4. Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: case studies from the Appalachian basin, USA;Bhattacharya;J. Petrol. Sci. Eng.,2018

5. Multifunctional applications of biochar beyond carbon storage;Bolan;Int. Mater. Rev.,2022

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