Evaluating the capability of municipal solid waste separation in China based on AHP-EWM and BP neural network
Author:
Funder
Key Technologies Research and Development Program
Ministry of Science and Technology of the People's Republic of China
Publisher
Elsevier BV
Subject
Waste Management and Disposal
Reference49 articles.
1. Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: a case study of Fars province, Iran;Azadi;Waste Manage.,2016
2. Prediction of phthalate acid esters degradation in soil using QSAR model: A combined consideration of soil properties and quantum chemical parameters;Bai;Ecotoxicol. Environ. Saf.,2021
3. A deep neural network for predicting and engineering alternative polyadenylation;Bogard;Cell,2019
4. Using machine learning to classify bioactivity for 3486 per- and polyfluoroalkyl Substances (PFASs) from the OECD List;Cheng;Environ. Sci. Technol.,2019
5. Comparison of municipal solid waste treatment capacity in China: a tournament graph method;Chu;J. Mater. Cycles Waste Manage.,2020
Cited by 34 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. Deciding on the priority of process parameters using the analytical hierarchy process in electrochemical wastewater treatment and investigation of paint wastewater treatability;Desalination and Water Treatment;2024-10
2. Effects of municipal solid waste component on gasification performance and chromium partitioning behavior under CO2 atmosphere;Chemical Engineering Journal;2024-10
3. An R–A dual network detection model for abnormal behavior of running vehicles;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-02
4. Weighted feature fusion of dual attention convolutional neural network and transformer encoder module for ocean HABs classification;Expert Systems with Applications;2024-06
5. A Light Pollution Risk Standard Model Based on Entropy Weight Method and K-Means Clustering Algorithm;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3