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Intelligent sensors using computationally efficient Chebyshev neural networks.

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Intelligent sensors using computationally efficient Chebyshev neural networks.

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dc.contributor.author Patra, Jagdish Chandra.
dc.contributor.author Juhola, M.
dc.contributor.author Meher, Pramod Kumar.
dc.date.accessioned 2011-09-22T04:13:15Z
dc.date.available 2011-09-22T04:13:15Z
dc.date.copyright 2008
dc.date.issued 2011-09-22
dc.identifier.citation Patra, J. C., Juhola, M., & Meher, P. K. (2008). Intelligent sensors using computationally efficient Chebyshev neural networks. IET Science, Measurement & Technology, 2(2), 68-75.
dc.identifier.issn 1751-8822
dc.identifier.uri http://hdl.handle.net/10220/7105
dc.description.abstract Intelligent signal processing techniques are required for auto-calibration of sensors, and to take care of nonlinearity compensation and mitigation of the undesirable effects of environmental parameters on sensor output. This is required for accurate and reliable readout of the measurand, especially when the sensor is operating in harsh operating conditions. A novel computationally efficient Chebyshev neural network (CNN) model that effectively compensates for such non-idealities, linearises and calibrates automatically is proposed. By taking an example of a capacitive pressure sensor, through extensive simulation studies it is shown that performance of the CNN-based sensor model is similar to that of a multilayer perceptron-based model, but the former has much lower computational requirement. The CNN model is capable of producing pressure readout with a full-scale error of only plusmn1.0% over a wide operating range of -50 to 200degC.
dc.format.extent 8 p.
dc.language.iso en
dc.relation.ispartofseries IET science, measurement & technology
dc.rights © 2008 IET. This is the author created version of a work that has been peer reviewed and accepted for publication by IET Science, Measurement & Technology, The Institution of Engineering and Technology.  It incorporates referee's comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [DOI: http://dx.doi.org/10.1049/iet-smt:20070061].
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation.
dc.title Intelligent sensors using computationally efficient Chebyshev neural networks.
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1049/iet-smt:20070061
dc.description.version Accepted version
dc.identifier.rims 128668

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