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Introduction:.......... Olfactory Physiology Organic Chemistry Signal Processing Pattern Recognition Computational Learning Electronic Nose Chemical Sensors.

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Presentation on theme: "Introduction:.......... Olfactory Physiology Organic Chemistry Signal Processing Pattern Recognition Computational Learning Electronic Nose Chemical Sensors."— Presentation transcript:

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2 Introduction:.......... Olfactory Physiology Organic Chemistry Signal Processing Pattern Recognition Computational Learning Electronic Nose Chemical Sensors / Analytical Chemistry

3 Electronic Nose Systems

4 Commercially Available Systems

5 Block Diagram of the Experimental Setup

6 Experimental Setup Switching Box Mass Flow Controller Network Analyzer VOC in bubbler Nitrogen VOC PC Sensor Cell

7 EXPERIMENTAL SETUP Mass Flow Controller Network Analyzer Gas Bubbler Sensor Cell Mass Flow Meter Switching Box Post-It notes

8 How Does Odor Signal look Like?

9 Identification of VOCs Preprocessing Increasing Pattern Separability Neural Network Training Neural Network Validation VOC Identification Raw Sensor Readings (6-D) Filtering, Normalization, De-trending, etc. Fuzzy nose (FNOSE), Feature range stretching, or Nonlinear cluster transformation Multilayer perceptron LEARN++ (for incremental learning) Classification..........


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