Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network

Kumar Pandey, Ashutosh; Park, Jungsu; Muhorakeye, Alice; Morya, Raj; Kim, Sang-Hyoun

doi:10.1016/j.biortech.2023.128629

YONSEI University

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Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network

Authors: Kumar Pandey, Ashutosh; Park, Jungsu; Muhorakeye, Alice; Morya, Raj; Kim, Sang-Hyoun

Issue Date: Mar-2023

Publisher: Elsevier BV

Citation: Bioresource Technology, v.372, pp 128629

Journal Title: Bioresource Technology

Volume: 372

Start Page: 128629

URI: https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6441

DOI: 10.1016/j.biortech.2023.128629

ISSN: 0960-8524

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Appears in Collections: College of Engineering > 공과대학 건설환경공학 > 1. Journal Articles

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