Comparisons between radial basis function and multilayer perceptron neural networks methods for nitrate and phosphate detections in water supply

Mohd Amri Md Yunus, Mahdi Faramarzi, Sallehuddin Ibrahim, Wahid Ali Hamood Altowayti, Goh Pei San, Subhas Chandra Mukhopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

This paper presents the comparisons between two models to classify nitrate and phosphate contamination in water supply based on artificial intelligence with multiple inputs parameters. The planar electromagnetic sensor array has been subjected to different water samples contaminated by nitrate and phosphate where output signals have been extracted. In the first method, the signals from the planar electromagnetic sensor array were derived to decompose by Wavelet Transform (WT). The energy and mean features of decomposed signals were extracted and used as inputs for an Artificial Neural Network (ANN) multilayer perceptron (MLP) and Radial Basis Function (RBF) neural networks models. The analysis models were targeted to classify the amount of nitrate and phosphate contamination in water supply. The result shows that the planar electromagnetic sensor array with the assistance of the MLP neural network method is the best alternative as compared to RBF neural network method.

Original languageEnglish
Title of host publicationEmerging Control Techniques for a Sustainable World
Subtitle of host publication2015 10th Asian Control Conference (ASCC 2015)
Place of PublicationPicataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781479978625
ISBN (Print)9781479978632
DOIs
Publication statusPublished - 8 Sep 2015
Externally publishedYes
Event10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia
Duration: 31 May 20153 Jun 2015

Other

Other10th Asian Control Conference, ASCC 2015
CountryMalaysia
CityKota Kinabalu
Period31/05/153/06/15

Keywords

  • planar electromagnetic sensor array
  • artificial neural network
  • multi layer perceptron
  • radial basis function
  • feature extraction
  • nitrate and phosphate estimation

Fingerprint Dive into the research topics of 'Comparisons between radial basis function and multilayer perceptron neural networks methods for nitrate and phosphate detections in water supply'. Together they form a unique fingerprint.

Cite this