Chemical substance classification by electronic noses
The 2nd IEEE International Conference on Computer Science and Information Technology. Beijing, China, 2009, page 68-72
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th-mahidol.104582018-04-03T14:35:34Z Chemical substance classification by electronic noses Chomtip Pornpanomchai Piyorot Khongchuay Mahidol University. Faculty of Information and Communication Technology Neural Network Electronic Noses Chemical substance Classification The 2nd IEEE International Conference on Computer Science and Information Technology. Beijing, China, 2009, page 68-72 Normally, an electronic nose project uses two researches areas which are hardware for developing sensors to detect substance smell and software using pattern matching theorem for recognizing substance. The operation begins with sensors hit the smell of chemical substance. The result is converted from analog to digital representation. An artificial intelligence is a tool of a thinking system which can create knowledge as if a human does. The objective of this research is to classify chemical substance by using electronic noses. We used eight types of chemical substance in the experiment which are 1) Acetone, 2) Benzene, 3) Propanal, 4) Butanol, 5) Chloroform, 6) Ethanol, 7) Methane and 8) Tetrahydrofuran. We compared nine structures of neural network to classify the chemical substance data. The precision of correctness is equal to 94.64 for a neural network structure as 54 input-layer nodes, 216 hidden-layer1 nodes, 8 hidden-layer2 nodes and 8 output-layer nodes. 2018-04-03T07:34:36Z 2018-04-03T07:34:36Z 2018-04-03 2009 Proceeding Article 10.1109/ICCSIT.2009.5234995 https://repository.li.mahidol.ac.th/handle/123456789/10458 eng Mahidol University IEEE Xplore |
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Neural Network Electronic Noses Chemical substance Classification |
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Neural Network Electronic Noses Chemical substance Classification Chomtip Pornpanomchai Piyorot Khongchuay Chemical substance classification by electronic noses |
| description |
The 2nd IEEE International Conference on Computer Science and Information Technology. Beijing, China, 2009, page 68-72 |
| author2 |
Mahidol University. Faculty of Information and Communication Technology |
| author_facet |
Mahidol University. Faculty of Information and Communication Technology Chomtip Pornpanomchai Piyorot Khongchuay |
| format |
Proceeding Article |
| author |
Chomtip Pornpanomchai Piyorot Khongchuay |
| author_sort |
Chomtip Pornpanomchai |
| title |
Chemical substance classification by electronic noses |
| title_short |
Chemical substance classification by electronic noses |
| title_full |
Chemical substance classification by electronic noses |
| title_fullStr |
Chemical substance classification by electronic noses |
| title_full_unstemmed |
Chemical substance classification by electronic noses |
| title_sort |
chemical substance classification by electronic noses |
| publishDate |
2018 |
| url |
https://repository.li.mahidol.ac.th/handle/123456789/10458 |
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1763494475869454336 |