𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Pattern recognition from sensor arrays: Theoretical considerations

✍ Scribed by Fabrizio A.M. Davide; Arnaldo D'Amico

Book ID
103959184
Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
990 KB
Volume
32
Category
Article
ISSN
0924-4247

No coin nor oath required. For personal study only.

✦ Synopsis

A general approach to the design and the evaluation of multisensor measurement systems based upon real non-selective reproducible sensors is proposed. Generalized definitions of both sensitivity and precision of sensor arrays are introduced. By means of new graphical tools the possibility is analyzed of obtaining improved selectivity, sensitivity and precision from sensor arrays. Quantitative design criteria, allowing the optimal coupling of individual sensors to form the array as well as their selectivity and operating conditions, are introduced, taking into account the influences of technological processes.

πŸ“œ SIMILAR VOLUMES

Quality classification of grain using a
Quality classification of grain using a sensor array and pattern recognition
✍ J.R. Stetter; M.W. Findlay Jr.; K.M. Schroeder; C. Yue; W.R. Penrose πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 1004 KB

## Ahstmet Measurements using arrays of electrochemical gas sensors, combined with pattern recognition methods, were used to classify wheat samples by quality grade. The classifications corresponded closely to those made by trained grain inspectors. Volatile compounds evolved from warmed samples o

Gas identification using micro gas senso
Gas identification using micro gas sensor array and neural-network pattern recognition
✍ Hyung-Ki Hong; Hyun Woo Shin; Hyeon Soo Park; Dong Hyun Yun; Chul Han Kwon; Kyuc πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 674 KB

in order to identify CH3SH, (CH3)3H, C2HsOH and CO gases in the concentration range of 0. i to 100 ppm, a gas recognition system using a gas sensor array and neural-network pattern recognition has been fabricated. The sensor array consists of such thin film oxide semiconductor sensing materials as 1