NDLI: Enhancement of CHEMFET sensor selectivity based on backpropagation algorithm

Content Provider	IEEE Xplore Digital Library
Author	Aziz, N.A. Abdullah, W.F.H. Md Tahir, N. Adenan, M.N.H. Jamil, W.A.W.
Copyright Year	2013
Description	Author affiliation: Technol. Park Malaysia, NEMS & Photonics Cluster, Kuala Lumpur, Malaysia (Jamil, W.A.W.) \|\| Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia (Aziz, N.A.; Abdullah, W.F.H.; Md Tahir, N.; Adenan, M.N.H.)
Abstract	In this study, a method to improve selectivity of chemically field-effect transistor (CHEMFET) sensor towards the main ion concentration in mixed solution is discussed. The approach is based on artificial neural network (ANN) as a post processing stage that performs the estimation of ion concentration in the mixed solution. Here, the algorithm developed will be able to estimate the main ion in mixed solution by learning the pattern of the input and output based on sensor reading extracted. Firstly, backpropagation algorithm is used to train proposed network by optimizing the parameters of the network. Initial findings showed that the performance of MLP architectures with backpropagation algorithm is able to provide excellence estimation of main ion concentration in mixed solution.
Starting Page	226
Ending Page	231
File Size	963384
Page Count	6
File Format	PDF
e-ISBN	9781479910304
DOI	10.1109/ICSEngT.2013.6650175
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CHEMFET sensor Backpropagation algorithm Conferences Neurons Estimation Artificial neural networks Backpropagation algorithms Ions Multilayer perceptron Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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