Pattern recognition analysis of optical sensor array data to detect nitroaromatic compound vapors

2001 ◽  
Vol 79 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Gregory A. Bakken ◽  
Gregory W. Kauffman ◽  
Peter C. Jurs ◽  
Keith J. Albert ◽  
Shannon S. Stitzel
Keyword(s):  
Pattern Recognition ◽  
Optical Sensor ◽  
Sensor Array ◽  
Nitroaromatic Compound ◽  
Array Data ◽  
Pattern Recognition Analysis

Identification of Multiple Analytes Using an Optical Sensor Array and Pattern Recognition Neural Networks

1997 ◽  
Vol 69 (22) ◽  
pp. 4641-4648 ◽  
Author(s):  
Stephen R. Johnson ◽  
Jon M. Sutter ◽  
Heidi L. Engelhardt ◽  
Peter C. Jurs ◽  
Joel White ◽  
...  
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Optical Sensor ◽  
Sensor Array ◽  
Multiple Analytes

A Visual Sensor Array for Pattern Recognition Analysis of Proteins Using Novel Blue-Emitting Fluorescent Gold Nanoclusters

2014 ◽  
Vol 86 (23) ◽  
pp. 11634-11639 ◽  
Author(s):  
Shenghao Xu ◽  
Xin Lu ◽  
Chenxi Yao ◽  
Fu Huang ◽  
Hua Jiang ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Sensor Array ◽  
Gold Nanoclusters ◽  
Visual Sensor ◽  
Pattern Recognition Analysis

Recognition of volatile organic compounds using SnO2 sensor array and pattern recognition analysis

2001 ◽  
Vol 77 (1-2) ◽  
pp. 228-236 ◽  
Author(s):  
Dae-Sik Lee ◽  
Jong-Kyong Jung ◽  
Jun-Woo Lim ◽  
Jeung-Soo Huh ◽  
Duk-Dong Lee
Keyword(s):  
Pattern Recognition ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Sensor Array ◽  
Volatile Organic ◽  
Pattern Recognition Analysis

Optimization of Sensor Array Data with Various Pattern Recognition Techniques

2010 ◽  
Vol 20-23 ◽  
pp. 694-699 ◽  
Author(s):  
Hong Men ◽  
Zong Nian Ge ◽  
Hai Yan Liu ◽  
Rui Xia Wen ◽  
Zhi Ming Xu
Keyword(s):  
Pattern Recognition ◽  
Mineral Water ◽  
Sensor Array ◽  
Electronic Tongue ◽  
Adaptive Genetic Algorithm ◽  
Array Data ◽  
Principle Components Analysis ◽  
Fast Training ◽  
Array Optimization ◽  
Components Analysis

An electronic tongue which composed of selective electrodes is applied to mineral water recognition (optimization of sensor array). The task of the system is to distinguish among five brands of mineral water. For this purpose, various pattern recognition (PARC) procedures are employed: principle components analysis (PCA), independent component analysis, linked-like adaptive genetic algorithm (LAGA), et al. LAGA networks are proved to exhibit the best performance both in array optimization and mineral water recognition. Their further advantages, such as fast training and robustness, make them the suggested pattern classifiers for sensor array data.

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