Assessing the Performance of Deep Learning Algorithms With and Without Transfer Learning in Similar or Identical Wastewater Treatment Processes

Assessing the Performance of Deep Learning Algorithms With and Without Transfer Learning in Similar or Identical Wastewater Treatment Processes

This study assessed the feasibility of transfer learning from one wastewater treatment process to another using two popular deep learning algorithms. Specifically, convolutional neural network (CNN) and long short-term memory (LSTM), which consisted of four and three hidden layers, respectively, wer...

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Bibliographic Details
Main Authors: Jaeil Kim, Sang-Ik Suh, Yongtae Ahn, Seo Jin Ki
Format: Article
Language:English
Published: Korean Society of Environmental Engineers 2024-03-01
Series:대한환경공학회지
Subjects:
transfer learning
deep learning
convolutional neural network
long short-term memory
wastewater treatment process
Online Access:http://www.jksee.or.kr/upload/pdf/KSEE-2024-46-3-111.pdf

Internet

http://www.jksee.or.kr/upload/pdf/KSEE-2024-46-3-111.pdf

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