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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wu Pan Ning Li Pandeng Liu |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Optoelectronics Engineering, Chongqing University of Posts and Telecommunications, 400065, China (Wu Pan; Ning Li; Pandeng Liu) |
| Abstract | Six semiconductor gas sensors which are sensitive to Carbon monoxide (CO), Methane (CH4) and Hydrogen (H2) were chosen to compose the gas sensor array, and an on-line data acquisition system was constructed. Combining with the pattern recognition techniques of back propagation(BP) neuron network, the system was used to carry out the quantitative analysis of the partial gas concentration in a mixture. Pre-processing algorithms and the structures of the neural network was analyzed by experiments, and the results prove that the system can accomplish the quantitative analysis of the partial gas concentration of the mixture results using RRD pre-processing algorithm, then the training and testing of this three-layer BP neuron network with 9 neurons in hidden layer are performed. |
| Starting Page | 976 |
| Ending Page | 980 |
| File Size | 105542 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448982 |
| DOI | 10.1109/ICNIDC.2009.5360938 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Neurons Hydrogen Data acquisition Gas detection Electronic nose Quantiterative analysis Pattern recognition Neural network Sensor arrays Electronic noses Performance analysis Pattern analysis Gas detectors |
| Content Type | Text |
| Resource Type | Article |
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