Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response

Wan Fazlida Hanim Abdullah, Masuri Othman, Mimos Berhad, Mohd Alaudin Mohd Ali, Md. Shabiul Islam

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

Abstract

This paper presents the classification of ionic concentration using ion-sensitive field-effect transistor (ISFET) sensors with post-processing neural network ensemble. ISFETs are electrochemical potentiometric sensors that produce voltage response indicative of ionic concentration change. However, in the presence of ions of similar charge, the voltage levels tend to be influenced by the interfering ions. The training dataset is based on actual measured data and are collected from dc response of sensors from titration. The multiple classifier system consists of feedforward multilayer perceptron weak learners constructed by bagging algorithm. Diversity is achieved by randomness of free parameters and resampling techniques of datasets by bootstrapping. Results demonstrate that multiple classifier system improves the ionic concentration classification of the main ion by additional 5% as compared to the average of the individual classifier performance.

Original languageEnglish
Title of host publicationICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages90-93
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur
Duration: 5 Dec 20107 Dec 2010

Other

Other2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
CityKuala Lumpur
Period5/12/107/12/10

Fingerprint

Ion sensitive field effect transistors
Classifiers
Sensors
Ions
Potentiometric sensors
Electrochemical sensors
Electric potential
Multilayer neural networks
Titration
Neural networks
Processing

Keywords

  • Electrochemical devices
  • Feedforward neural networks
  • Microsensors

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Abdullah, W. F. H., Othman, M., Berhad, M., Ali, M. A. M., & Islam, M. S. (2010). Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics (pp. 90-93). [5735053] https://doi.org/10.1109/ICCAIE.2010.5735053

Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response. / Abdullah, Wan Fazlida Hanim; Othman, Masuri; Berhad, Mimos; Ali, Mohd Alaudin Mohd; Islam, Md. Shabiul.

ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 90-93 5735053.

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

Abdullah, WFH, Othman, M, Berhad, M, Ali, MAM & Islam, MS 2010, Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response. in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics., 5735053, pp. 90-93, 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, Kuala Lumpur, 5/12/10. https://doi.org/10.1109/ICCAIE.2010.5735053
Abdullah WFH, Othman M, Berhad M, Ali MAM, Islam MS. Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 90-93. 5735053 https://doi.org/10.1109/ICCAIE.2010.5735053
Abdullah, Wan Fazlida Hanim ; Othman, Masuri ; Berhad, Mimos ; Ali, Mohd Alaudin Mohd ; Islam, Md. Shabiul. / Multiple feedforward classifiers by bagging for ion-sensitive field effect transistor sensor response. ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. pp. 90-93
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