Classification for ammonia in water by specific concentration using artificial neural network (ANN)

Muhamad Faruqi, Zahari and M. S., Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Suziyanti, Zaib Classification for ammonia in water by specific concentration using artificial neural network (ANN). In: The 6th International Conference on Electrical, Control and Computer Engineering (InECCE2021) , 23rd August 2021 , Microsoft Teams platform. pp. 1-8.. (Unpublished)

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Abstract

Water pollution caused by poor management of waste water release or dump need to be monitored. This paper present to monitor on ammonia release by industry which can caused death to plant worker. This monitoring was a combination between E-Nose and Classification techniques which is ANN. ANN the most common retrieval method that used in industry nowadays. Furthermore, ANN classification successful to classify 100% accuracy for specific concentration of Ammonia which is using Lavernberg-Marquardt (LM) algorithm with supervised learning and fast convergence Back Propagation (BP) method.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: E-Nose, ANN; Ammonia; Odor-profile; Air Pollution
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 07 Dec 2021 07:10
Last Modified: 07 Dec 2021 07:10
URI: http://umpir.ump.edu.my/id/eprint/32760
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