Presentation 2022-11-24
Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures
Taiga Manabe, Katsumi Tateno, Osamu Nakamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Volatile organic compounds (VOCs) are useful substances in industry, but the effects of exposure to VOCs through inhalation on the human body are problematic. Because the toxicity of VOCs varies from substance to substance, it is necessary to measure the concentration of each VOC on site in real time in order to determine the inhalation risk to workers. Nakamura and Tateno proposed a quantitative analysis of mixed VOCs using a three-layer feedforward spiking neural network with two semiconductor sensors with different characteristics as inputs. However, that sensor system only considered specific sensor responses. Therefore, in this study, we examined the effect of different response characteristics of semiconductor sensor arrays on the quantitative analysis of the proposed SNN. As a result, we revealed the effect of different sensitivity characteristics of the sensors in the proposed SNN on the quantitative analysis of VOC concentrations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Spiking neural network / Volatile organic compounds / Sensor arrays
Paper # NLP2022-65
Date of Issue 2022-11-17 (NLP)

Conference Information
Committee NLP
Conference Date 2022/11/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akio Tsuneda(Kumamoto Univ.)
Vice Chair Hiroyuki Torikai(Hosei Univ.)
Secretary Hiroyuki Torikai(Sojo Univ.)
Assistant Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures
Sub Title (in English)
Keyword(1) Spiking neural network
Keyword(2) Volatile organic compounds
Keyword(3) Sensor arrays
1st Author's Name Taiga Manabe
1st Author's Affiliation Kyushu Institute of Technology(KIT)
2nd Author's Name Katsumi Tateno
2nd Author's Affiliation Kyushu Institute of Technology(KIT)
3rd Author's Name Osamu Nakamura
3rd Author's Affiliation University of Tsukuba(UT)
Date 2022-11-24
Paper # NLP2022-65
Volume (vol) vol.122
Number (no) NLP-280
Page pp.pp.36-41(NLP),
#Pages 6
Date of Issue 2022-11-17 (NLP)