予兆監視システム(SIAT)が検出した予兆情報からNUCIAに登録された過去の類似事例を検索する手法の検討


英字タイトル:
Examination of a method to search past similar cases registered in NUCIA from predictive information detected by SIAT
著者:
林 司 谷川 稔 (中国電力) 山本 敬之 (NEC) 宇治原 里志 (日本IBM) 高瀬 健太郎 児玉 典子 (IIU)
発刊日:
公開日:
カテゴリ: 第16回
キーワードタグ:

概要

It is thought that we can let knowledge of "Human" substitute by building a function to utilize predictive information, and to extract a similar example from these documents in AI. In this way, we can largely reduce a burden on "Human" by building past accidents as a database, and being resemblance or equivalence, and extracting a cormorant from that. But we may list it by expression varying among document creators even if it is the same company. When we performed a document search with disregard to such a ", we made which considered "the fluctuation of words" because the document using the different expression might leak out from the search results.


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