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Evaluation of a New Method for Extraction of Drift-Stable Information from Electronic Tongue Measurements

01 Jan 2003-

TL;DR: This thesis is a part of a project where a new method, the base descriptor approach, is studied, to reduce drift and extract vital information from electronic tongue mappings.

AbstractThis thesis is a part of a project where a new method, the base descriptor approach, is studied. The purpose of this method is to reduce drift and extract vital information from electronic tongue m ...

Topics: Electronic tongue (52%)

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Citations
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Book
01 Jan 1994

607 citations


Proceedings ArticleDOI
03 May 2010
Abstract: This paper presented and discussed a new electrochemical analysis method FARSA (frequency and amplitude response spectroscopy analyzing), which can be applied to qualitatively and quantitatively analyze material's properties and concentration with certain methods of chemometrics, and introduced the system and functional structure of FARSA. Principal component analysis (PCA) was used to the identification and authenticity of identification of four brands of purified drinking water and three brands of mineral drinking water. The results showed that it can clearly classify different brands of water and the pseudo-sample. Additionally, a quantitative method based on LM-BP artificial neural nets was used to detect the COD concentration of wastewater with a good fitting and forecast accuracy.

Cites background or methods from "Evaluation of a New Method for Extr..."

  • ...The three electrodes system improves the accuracy of the test system, and the sensor arrays of more than one working electrode increases the information obtained from the liquids [5]....

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  • ...The first one is PCA (principle component analysis), a mathematical transform that is used to explain variance in experimental data [5]....

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References
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Book
01 Jan 1983

34,706 citations


Book
16 Jul 1998
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Abstract: From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks. Written in a concise and fluid manner, by a foremost engineering textbook author, to make the material more accessible, this book is ideal for professional engineers and graduate students entering this exciting field. Computer experiments, problems, worked examples, a bibliography, photographs, and illustrations reinforce key concepts.

29,115 citations


Book
01 Jan 1980
Abstract: Major Symbols. Standard Abbreviations. Introduction and Overview of Electrode Processes. Potentials and Thermodynamics of Cells. Kinetics of Electrode Reactions. Mass Transfer by Migration and Diffusion. Basic Potential Step Methods. Potential Sweep Methods. Polarography and Pulse Voltammetry. Controlled--Current Techniques. Method Involving Forced Convention--Hydrodynamic Methods. Techniques Based on Concepts of Impedance. Bulk Electrolysis Methods. Electrode Reactions with Coupled Homogeneous Chemical Reactions. Double--Layer Structure and Adsorption. Electroactive Layers and Modified Electrodes. Electrochemical Instrumentation. Scanning Probe Techniques. Spectroelectrochemistry and Other Coupled Characterization Methods. Photoelectrochemistry and Electrogenerated Chemiluminescence. Appendix A: Mathematical Methods. Appendix B: Digital Simulations of Electrochemical Problems. Appendix C: Reference Tables. Index.

20,520 citations


Journal ArticleDOI
TL;DR: Principal Component Analysis is a multivariate exploratory analysis method useful to separate systematic variation from noise and to define a space of reduced dimensions that preserve noise.
Abstract: Principal Component Analysis (PCA) is a multivariate exploratory analysis method, useful to separate systematic variation from noise. It allows to define a space of reduced dimensions that preserve ...

7,165 citations


"Evaluation of a New Method for Extr..." refers methods in this paper

  • ...Nyckelord Keyword multivariate calibration, PLSR, PCR, PCA, regression, drift, base descriptors, electronic tongue Abstract This thesis is a part of a project where a new method, the base descriptor approach, is studied....

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  • ...Keywords: multivariate calibration, PLSR, PCR, PCA, regression, drift, base descriptors, electronic tongue. i ii...

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  • ...47 5.4 One Prediction Model for Each Replicate . . . . . . . . . . . . . . . 48 5.4.1 PCA for Classification of Juices . . . . . . . . . . . . . . . ....

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  • ...The base descriptors, however, separates the juices for classification somewhat better than the classification of juices performed by PCA....

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  • ...59 5.5.1 PCA for Classification of Juices . . . . . . . . . . . . . . . ....

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Journal ArticleDOI
Abstract: A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.

5,901 citations


"Evaluation of a New Method for Extr..." refers methods in this paper

  • ...Partial Least Squares Regression (PLSR) is linear regression method based on partial least squares (PLS) [19, 13, 20, 21]....

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  • ...The NIPALS algorithm [19] is an algorithm which like Höskuldsson’s is based on an iterative breakdown of Xc into score and loading vectors....

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  • ...A different kind of algorithm called SIMPLS is presented in [19]....

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  • ...For example the nonlinear iterative partial least squares (NIPALS) algorithm [19]....

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