Add to ORKGIn this study, a fuzzy logic based algorithm is presented for the concentration estimation of the CCl4 and CHCl3 gases by using the steady state sensor response and an artificial neural network (ANN) structure is proposed for the concentration estimation of the same gases inside the sensor response time by using the transient sensor response. The Quartz Crystal Microbalance (QCM) type sensors were used as gas sensors. A computer controlled measurement and automation system with IEEE 488 card was used to control the gas concentration values and to collect the sensor responses. Acceptable performance was obtained for the concentration estimation with fuzzy inference. The appropriateness of the artificial neural network for the gas concentrati...
Article dans revue scientifique avec comité de lecture. internationale.International audienceTwo mul...
AbstractArtificial Neural Network (ANN) based pattern recognition technique is used for ensuring the...
In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis fu...
In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the ...
In this study, a comparative study was performed for the quantitative identification of individual g...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
This paper presents the research segment of development of methodology for determining odor level of...
The presented sensor array consists of two chemical sensors based on different measurement principle...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
This paper presents a QCM sensor array and a data processing system to find gas concentration ratios...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
The main problem in gas sensing, using semiconductor gas sensors, is that they are not only sensitiv...
Chemical sensors have been shown to be an effective means for detecting molecules in gas or liquid p...
Abstract — Fuzzy logic is one of the techniques in Artificial Intelligent (AI) that widely used to c...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
Article dans revue scientifique avec comité de lecture. internationale.International audienceTwo mul...
AbstractArtificial Neural Network (ANN) based pattern recognition technique is used for ensuring the...
In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis fu...
In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the ...
In this study, a comparative study was performed for the quantitative identification of individual g...
The applied chemical sensor research focuses on sensor arrays and signal evaluation methods, to impr...
This paper presents the research segment of development of methodology for determining odor level of...
The presented sensor array consists of two chemical sensors based on different measurement principle...
The paper presents two methods of dynamic error correction applied to transducers used for the measu...
This paper presents a QCM sensor array and a data processing system to find gas concentration ratios...
During the last years the application of Artificial Neural networks (ANN) has proved to be a model i...
The main problem in gas sensing, using semiconductor gas sensors, is that they are not only sensitiv...
Chemical sensors have been shown to be an effective means for detecting molecules in gas or liquid p...
Abstract — Fuzzy logic is one of the techniques in Artificial Intelligent (AI) that widely used to c...
Due to the lack in selectivity and separability of most common gas sensors, the use of sensor arrays...
Article dans revue scientifique avec comité de lecture. internationale.International audienceTwo mul...
AbstractArtificial Neural Network (ANN) based pattern recognition technique is used for ensuring the...
In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis fu...