Study for the Design Method of Multi-agent Diagnostic System to Improve Diagnostic Performance for Similar Abnormality

Akio Gofuku

Study for the Design Method of Multi-agent Diagnostic System to Improve Diagnostic Performance for Similar Abnormality

Akio Gofuku

School of Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Proc. ISOFIC/ISSNP 2014 (International Symposium on Future I&C for Nuclear Power Plants, International Symposium on Symbiotic Nuclear Power Systems)
Publication status	Published - 2014

Cite this

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title = "Study for the Design Method of Multi-agent Diagnostic System to Improve Diagnostic Performance for Similar Abnormality",

author = "Akio Gofuku",

year = "2014",

language = "English",

journal = "Proc. ISOFIC/ISSNP 2014 (International Symposium on Future I&C for Nuclear Power Plants, International Symposium on Symbiotic Nuclear Power Systems)",

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TY - JOUR

T1 - Study for the Design Method of Multi-agent Diagnostic System to Improve Diagnostic Performance for Similar Abnormality

AU - Gofuku, Akio

PY - 2014

Y1 - 2014

M3 - Article

JO - Proc. ISOFIC/ISSNP 2014 (International Symposium on Future I&C for Nuclear Power Plants, International Symposium on Symbiotic Nuclear Power Systems)

JF - Proc. ISOFIC/ISSNP 2014 (International Symposium on Future I&C for Nuclear Power Plants, International Symposium on Symbiotic Nuclear Power Systems)

ER -