A recognition method of surface -water based on RBF neural network

Author(s):  
Xue-lian Chen ◽  
Jing-tao Hu
2013 ◽  
Vol 461 ◽  
pp. 801-808 ◽  
Author(s):  
Dong Hui Chen ◽  
Shao Bo Ye ◽  
Xiao Hui Weng ◽  
Jin Tong ◽  
Zhi Yong Chang

To detect the freshness of chicken quickly and accurately with non-destructive, in this paper, the gas-sensitive sensor array has been optimized according to the odor of chicken and the sensor experiment. gas sensors combinations of TGS2600 TGS2610 TGS2611 TGS2620 and TGS2442 were selected and combined to establish new sensor array,The outcome of biological olfactory research has been used to design a bionic gas collection chamber. We have also adopted RBF neural network as a pattern recognition method. The fact that the accuracy of chicken freshness detection using the system is physically and chemically proved to be 96% demonstrates the feasibility of making use of artificial olfactory system to detect chicken freshness.


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