Design of AI neural network based controller for controlling dissolved oxygen concentration in a sequencing batch reactor-Reference-Cited by-同舟云学术

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Design of AI neural network based controller for controlling dissolved oxygen concentration in a sequencing batch reactor

Published:2008-05-15 Issue:2 Volume:12 Page:121-136
ISSN:1875-8827
Container-title:International Journal of Knowledge-based and Intelligent Engineering Systems
language:
Short-container-title:KES

Author:

Azwar ¹,Rashid M.M.²,Hussain M.A.³

Affiliation:

1. Department of Chemical Engineering, University of Syiah Kuala, 23111 Banda Aceh, Indonesia

2. Department of Mechatronics Engineering International Islamic University, Malaysia 53100, Kuala Lumpur

3. Department of Chemical Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia

Publisher

IOS Press

Subject

Artificial Intelligence,Control and Systems Engineering,Software

Cited by 5 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. A Chlorophyll-a Concentration Inversion Model Based on Backpropagation Neural Network Optimized by an Improved Metaheuristic Algorithm;Remote Sensing;2024-04-24

2. A hierarchical intelligent control strategy for greenhouse gas reduction in wastewater treatment process of paper mill;Journal of Cleaner Production;2022-12

3. NONLINEAR FUZZY CONTROL SYSTEM FOR DISSOLVED OXYGEN WITH AERATION SYSTEM IN SEQUENCING BATCH REACTOR;Information Technology And Control;2015-06-25

4. Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network;Control Engineering Practice;2012-04

5. Artificial Neural Network Modelling of Sequencing Batch Reactor Performance;Handbook of Research on Computational Science and Engineering;2012

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