DocumentCode :
560514
Title :
Processing of simulated biosensor data using artificial neural networks
Author :
Gao, Ling
Author_Institution :
Shandong Provincial Key Lab. for Distrib. Comput. Software Novel Technol., ShanDong Normal Univ., Jinan, China
Volume :
1
fYear :
2011
fDate :
9-11 Dec. 2011
Firstpage :
27
Lastpage :
30
Abstract :
Probability artificial neural network (PNN) and back propagation neural network (BPNN) are used in processing of the simulated data of heavy metals biosensors. The probability artificial neural network is used in pattern recognition to determine the kinds of heavy metals in the sample. The back propagation neural network is used in prediction of the heavy metal concentrations. The results shows that these two artificial neural networks work well.
Keywords :
backpropagation; biology computing; biosensors; data handling; neural nets; pattern recognition; probability; artificial neural network; backpropagation neural network; biosensor data; heavy metal; pattern recognition; probability; artificial neural network; biosensor; data processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
Type :
conf
DOI :
10.1109/ITiME.2011.6130776
Filename :
6130776
Link To Document :
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