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Updated: Jan 10, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

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贝叶斯基因优化在自动化超参数调上的一种新方法.

Qi Li1, Norshaliza Kamaruddin2, Jia Zhang3

  • 1Faculty of Artificial Intelligence, UTM, Malaysia.

Scientific reports
|November 26, 2025
PubMed
概括

本研究介绍了一种基于贝叶斯的基因算法 (BayGA),用于优化股票市场预测模型. 这种新的方法提高了深度神经网络 (DNN) 的表现,显著超过主要股票指数.

关键词:
自动超参数调整调整贝叶斯语 贝叶斯语 贝叶斯语 贝叶斯语遗传算法 遗传算法 遗传算法多层感知器 (MLP); 长短记忆神经网络 (LSTM); 横截面股票回报预测.

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