A PSO-RBF neural network for BOD multi-step prediction in wastewater treatment process-Reference-Cited by-同舟云学术

A PSO-RBF neural network for BOD multi-step prediction in wastewater treatment process

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Liu Yonglei¹,Li Wenjing¹

Affiliation:

1. Ministry of Education,Faculty of Information Technology, Beijing University of Technology, Beijing Institute of Artificial Intelligence, Beijing Laboratory of Smart Environmental Protection,Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Intelligent Perception and Autonomous Control,Beijing,China

Funder

Research and Development

Beijing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727966.pdf?arnumber=9727966

Reference20 articles.

1. A PSO-RRBF neural network for BOD prediction in sewage treatment

2. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication

3. Development of multiple-step soft-sensors using a Gaussian process model with application for fault prognosis

4. Univariate model for hour ahead multi-step solar irradiance forecasting;faqih;2018 International Conference on Computer Information and Telecommunication Systems (CITS),2018

5. An Improved Attention-based LSTM for Multi-Step Dissolved Oxygen Prediction in Water Environment

Cited by 3 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. Monitoring, Control and Optimization of Wastewater Treatment Plants: a brief review;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

2. Assessment of Economic, Environmental, and Technological Sustainability of Rural Sanitation and Toilet Infrastructure and Decision Support Model for Improvement;Sustainability;2024-05-22

3. Prediction of dissolved oxygen concentration based on improved RBF;2023 4th International Conference on Computer Engineering and Application (ICCEA);2023-04-07