SCIS & ISIS
SCIS & ISIS 2006
Session ID : SU-E1-1
Conference information

SU-E1 Neural Networks (3)
A Pseudo Data Generation and A Two-stage Quantitation Method for Simultaneous Determination Sensor of Nucleotide Derivatives
*Akito FukudaSayaka KondoKenichi MaruyamaKoji SuzukiMasafumi Hagiwara
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Abstract
In this paper, we propose a pseudo data generation method and a two-stage quantitation method for simultaneous determination of nucleotide derivatives sensor that determines concentration of nucleotide derivatives based on sensor response. Conventional sensor is difficult to determine concentration of nucleotide derivatives simultaneously because of low determination quantity precision. In order to archive high quantity precision and simultaneous determination sensor, this paper proposes a pseudo data generation method and a two-stage quantitation method. To analyze sensor response, we use GRNN (General Regression Neural Network). With this sensor, concentration of nucleotide derivatives is determined easily and fast. It was confirmed by the experiments that proposed methods are effective for determining concentration of nucleotide derivatives.
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© 2006 Japan Society for Fuzzy Theory and Intelligent Informatics
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