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Updated: Feb 19, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

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多変数タイムシリーズの異常検出のためのノイズに強い,分布に適応するフレームワーク

Yanling Du1, Ziliang Yang1, Baozeng Chang1

  • 1College of Information Technology, Shanghai Ocean University, Shanghai, 201306, China.

Neural networks : the official journal of the International Neural Network Society
|February 17, 2026
PubMed
まとめ

この研究は,多変数時間系列 (MTS) での無監督異常検出のための新しいフレームワークであるNORDAを導入します. NORDAは騒々しいデータと非静止性を効果的に処理し,既存の方法よりも性能が優れています.

キーワード:
アノマリー検知装置多変数タイムシリーズ騒音汚染 騒音汚染非静止性とは

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