Presentation 1994/7/19
Feature Extraction for Taste Sensor Signal Processing by Neural Network
Bo Hao, Hitoshi Maekawa, Yutaka Sasaki, Hidekazu Uchida, Teruaki Katsube,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The authors have been developinglipid membrane integrated taste sensorsand its signal processingby a neural network.Taste signal is obtained as 2-D photo voltage patternby scanning the substrate of the sensor by probe light.This paper discriss about feature points extraction of 2-D taste signal by using multi-resolution approximation techniquefor selecting input signal to a nevinetwork.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Taste sensor / Neural network / Multi-resolution approximation / feature extraction
Paper # CPM94-34,OME94-29
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Conference Information
Committee CPM
Conference Date 1994/7/19(1days)
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Registration To Component Parts and Materials (CPM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feature Extraction for Taste Sensor Signal Processing by Neural Network
Sub Title (in English)
Keyword(1) Taste sensor
Keyword(2) Neural network
Keyword(3) Multi-resolution approximation
Keyword(4) feature extraction
1st Author's Name Bo Hao
1st Author's Affiliation Department of Information and Computer Sciences,Faculty of Engineering,Saitama University()
2nd Author's Name Hitoshi Maekawa
2nd Author's Affiliation Department of Information and Computer Sciences,Faculty of Engineering,Saitama University
3rd Author's Name Yutaka Sasaki
3rd Author's Affiliation Department of Information and Computer Sciences,Faculty of Engineering,Saitama University
4th Author's Name Hidekazu Uchida
4th Author's Affiliation Department of Information and Computer Sciences,Faculty of Engineering,Saitama University
5th Author's Name Teruaki Katsube
5th Author's Affiliation Department of Information and Computer Sciences,Faculty of Engineering,Saitama University
Date 1994/7/19
Paper # CPM94-34,OME94-29
Volume (vol) vol.94
Number (no) 153
Page pp.pp.-
#Pages 6
Date of Issue