企業経営のコミュニケーションのためのコグニティブグラフマルチモダル知識ネットワークの構築とダイナミックな適応アルゴリズムの研究
Minghui Ma1, Yaweng Wang2, Wei Sun3
1College of Culture and Tourism, Anhui Vocational and Technical College, Hefei, 230011, Anhui, China. kuaikuaihaoqilaiba@163.com.
Scientific reports
|February 22, 2026
まとめ
この研究は,企業管理のためのダイナミックな多式輸送知識ネットワークを導入し,意思決定とサプライチェーンの回復力を改善します. この新しいアプローチは,複雑なビジネス環境のためのデータ統合とリアルタイム適応を強化します.
科学分野:
- エンタープライズ・マネジメント・エンタープライズ・マネジメント
- データサイエンス データサイエンス
- サプライチェーンマネジメント (サプライチェーンマネジメント)
背景:
- 現代の企業は,多様で断片化されたデータを管理し,特にサプライチェーンの混乱の間,意思決定のスピードとコラボレーションを妨げています.
- ぼんやりとした認知マップ (FCM) のような既存の方法は静的であり,マルチモダルのデータ統合に苦労します.
研究 の 目的:
- 認知マップとイベント主導の更新アルゴリズムを使用して,ダイナミックなマルチモダルの管理知識ネットワークを開発する.
- リアルタイムデータとマルチモダルの情報の処理における静的モデルの限界に対処するために.
主な方法:
- 強化されたELMoモデルを使用して,マルチモダルのデータの機能調整.
- クロスドメインの汎用化のための量子埋め込みモデルの構築.
- ネットワークのダイナミックな適応のためのイベント主導の重量アップデートの実装.
主要な成果:
- サプライチェーンテストで意思決定効率が74.4%向上した.
- チップ不足のリスク経路を予測する92.1%の精度.
- サプライヤーの売上高効率が77.1%上昇した.
結論:
- 提案された方法は,ダイナミックな多式輸送管理知識ネットワークを効果的に構築します.
- このアプローチは,サプライチェーンなどのダイナミックな環境における意思決定の効率と予測の精度を大幅に高めます.
キーワード:
コグニティブ・マップ (Cognitive Map) とは,認知の地図である.意思決定の効率化についてダイナミック・アダプテーション・アルゴリズムマルチモダルの核融合は,量子埋め込みとは,量子埋め込みである.サプライチェーンのコラボレーションさらに関連する動画
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