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Updated: Sep 9, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

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拡張ベイジアンデータ選択:ブラッグ格レーティングスペクトルの機械学習予測の改善

Igor Nechepurenko1, M R Mahani1, Yasmin Rahimof1

  • 1Ferdinand-Braun-Institut (FBH), Gustav-Kirchhoff-Straße 4, 12489 Berlin, Germany.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究では,ブラッグ格レーティングセンサーの設計に不可欠なデータを効率的に収集するための強化されたベイジアン法が導入されています. 多様なデータポイントを優先することで 機械学習モデルの性能が改善され,特に複雑なセンサーの反応が改善されます.

キーワード:
ベイジアン最適化ブラッグ・グリット機械学習スペクトル分析

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