Hashem et al., 1995 - Google Patents
Neural network based analysis for chemical sensor arraysHashem et al., 1995
View PDF- Document ID
- 6851050115807095578
- Author
- Hashem S
- Keller P
- Kouzes R
- Kangas L
- Publication year
External Links
Snippet
Compact, portable systems capable of quickly identifying contaminants in the field are of great importance when monitoring the environment. In this paper, we examine the effectiveness of using artificial neural networks for real-time data analysis of a sensor array …
- 230000001537 neural 0 title abstract description 18
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the impedance of the material
- G01N27/04—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the impedance of the material by investigating resistance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Keller et al. | Electronic noses and their applications | |
Keller et al. | Three neural network based, sensor systems for environmental monitoring | |
Srivastava | Detection of volatile organic compounds (VOCs) using SnO2 gas-sensor array and artificial neural network | |
EP1650545B1 (en) | Multiple sensing system, device and method | |
US20060191319A1 (en) | Electronic nose for chemical sensing | |
US20020152037A1 (en) | Multiple sensing system and device | |
WO2001069186A1 (en) | Measuring and analyzing multi-dimensional sensory information for identification purposes | |
Ansari et al. | A novel technique of mixed gas identification based on the group method of data handling (GMDH) on time-dependent MOX gas sensor data | |
Zarra et al. | Instrumental odour monitoring system classification performance optimization by analysis of different pattern-recognition and feature extraction techniques | |
Kurup | An electronic nose for detecting hazardous chemicals and explosives | |
Hashem et al. | Neural Network based data analysis for chemical sensor arrays | |
De Vito et al. | Electronic noses for composites surface contamination detection in aerospace industry | |
Ojha et al. | Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study | |
Xu et al. | Integrated sensor array optimization with statistical evaluation | |
Hashem et al. | Neural network based analysis for chemical sensor arrays | |
Mishra et al. | Performance evaluation of normalized difference based classifier for efficient discrimination of volatile organic compounds | |
Pornpanomchai et al. | Beer classification by electronic nose | |
Martı́n et al. | Study of the interferences of NO2 and CO in solid state commercial sensors | |
Keller et al. | NEURAL NETWORK BASED DATA ANALYSIS FOR CHEMICAL SENSOR ARRAYS | |
US6716638B1 (en) | Measuring conducting paths using infrared thermography | |
Illahi et al. | BombNose: A multiple bomb-related gas prediction model using machine learning with electronic nose sensor substitution technique | |
Jamal et al. | Artificial neural network based e-nose and their analytical applications in various field | |
Sreelatha et al. | Patten recognition for toxic gases based on electronic nose using artificial neural networks | |
Stetter | Chemical sensor arrays: Practical insights and examples | |
CN115479976A (en) | Gas identification method of composite gas sensor based on PNN neural network |