Publication: RETRACTED ARTICLE: Instant coffee classification by electronic noses
Issued Date
2010-01-01
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2-s2.0-77957778582
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Mahidol University
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SCOPUS
Bibliographic Citation
ICMEE 2010 - 2010 2nd International Conference on Mechanical and Electronics Engineering, Proceedings. Vol.1, (2010)
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Chomtip Pornpanomchai, Koravit Jurangboon, Kanpai Jantarasee RETRACTED ARTICLE: Instant coffee classification by electronic noses. ICMEE 2010 - 2010 2nd International Conference on Mechanical and Electronics Engineering, Proceedings. Vol.1, (2010). doi:10.1109/ICMEE.2010.5558605 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/29114
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RETRACTED ARTICLE: Instant coffee classification by electronic noses
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Abstract
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. For this research, the operation begins with sensors hit the coffee smell. 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 instant coffee by using electronic noses. We used eight types of coffee in Thailand market for this project which are 1) Moccona-select, 2) Moccona-royal gold, 3) Nescafe redcup, 4) Nescafe gold, 5) Khao Shong brown, 6) Khao Shong red, 7) Oem-Big C and 8) Superclass. We compared four structures of neural network to classify the coffee data. The precision of correctness is equal to 65.63 for a neural network structure as 7 input-layer nodes, 14 hidden-layerl nodes, 48 hidden-layer2 nodes and 8 output-layer nodes. © 2010 IEEE.