Classification performance of carbon black-polymer composite vapor detector arrays as a function of array size and detector composition
- 1 November 2002
- journal article
- Published by Elsevier in Sensors and Actuators B: Chemical
- Vol. 87 (1), 130-149
- https://doi.org/10.1016/s0925-4005(02)00229-0
Abstract
No abstract availableThis publication has 29 references indexed in Scilit:
- Exploitation of spatiotemporal information and geometric optimization of signal/noise performance using arrays of carbon black-polymer composite vapor detectorsSensors and Actuators B: Chemical, 2002
- Artificial intelligence methods for selection of an optimized sensor array for identification of volatile organic compoundsSensors and Actuators B: Chemical, 2001
- Differentiation of Chemical Components in a Binary Solvent Vapor Mixture Using Carbon/Polymer Composite-Based ChemiresistorsAnalytical Chemistry, 2000
- Visual-Empirical Region-of-Influence Pattern Recognition Applied to Chemical Microsensor Array Selection and Chemical AnalysisAccounts of Chemical Research, 1998
- Array-Based Vapor Sensing Using Chemically Sensitive, Carbon Black−Polymer ResistorsChemistry of Materials, 1996
- Empirically defined regions of influence for clustering analysesPattern Recognition, 1995
- The development of an electronic ‘nose’ for industrial and environmental applicationsSensors and Actuators B: Chemical, 1995
- Polymer-based sensor arrays and multicomponent analysis for the detection of hazardous oragnic vapours in the environmentSensors and Actuators B: Chemical, 1995
- Identification capability of odor sensor using quartz-resonator array and neural-network pattern recognitionSensors and Actuators B: Chemical, 1990
- Detection of hazardous vapors including mixtures using pattern recognition analysis of responses from surface acoustic wave devicesAnalytical Chemistry, 1988