DocumentCode :
3156438
Title :
Application of a neural network to human tasting
Author :
Suganuma, Akira ; Kataoka, Masato ; Araki, Keijiro
Author_Institution :
Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
1992
fDate :
21-25 Sep 1992
Firstpage :
277
Lastpage :
282
Abstract :
The authors describe the application of an artificial neural network (ANN) to represent the sense of taste. A taste sensor has been developed recently. Though the taste sensor responds to various taste substances, it was very difficult to map the responses to a concentration of each substance. The attempt to recognize the sensor response and map them to the concentration of the substances is described. When an analytical approach was applied to this problem, it did not bring about the desired effect. A method to estimate the strength of each taste substance with an ANN was successful. The results of the experiment are presented
Keywords :
artificial intelligence; neural nets; artificial neural network; human tasting; neural network; taste sensor; Acoustic sensors; Artificial neural networks; Auditory system; Character recognition; Chemical sensors; Food industry; Humans; Neural networks; Pattern recognition; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 1992. COMPSAC '92. Proceedings., Sixteenth Annual International
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-3000-0
Type :
conf
DOI :
10.1109/CMPSAC.1992.217555
Filename :
217555
Link To Document :
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