An Artificial Neural Networks-Based on-Line Monitoring Odor Sensing System
نویسنده
چکیده
Problem statement: There have been many works for odor recognition using different sensor arrays and pattern recognition techniques in last decades. Approach: Although an odor is usually recorded utilizing language expression, it is too difficult for laymen to associate actual odor with that expression. Results: The odor sensing system should be extended to new areas since its standard style where the output pattern from multiple sensors with partially overlapped specificity is recognized by a neural network or multivariate analysis. Conclusion/Recommendations: In this study, we have developed odor sensing system with the capability of the discrimination among closely similar 20 different odor patterns and proposed an on-line classification method using a handheld odor meter (OMX-GR sensor) and neural network.
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