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Updated: Jul 10, 2026

Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants
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基于深度神经网络的数据驱动方法,用于描述基终结聚乙烯推进剂的机械行为

Ruohan Han1, Xiaolong Fu1, Bei Qu1

  • 1Xi'an Modern Chemistry Research Institute, Xi'an 710065, China.

Polymers
|March 13, 2025
PubMed
概括

深度神经网络准确地模拟基终结聚乙烯 (HTPE) 推进剂的机械行为. 长期短期记忆 (LSTM) 网络的性能优于其他网络,可实现优化的推进剂配方,以提高性能和安全性.

关键词:
贝叶斯优化是贝叶斯的优化.数据驱动的数据驱动.深度神经网络是一个神经网络.基终结聚乙烯 (HTPE) 推进剂机械行为 机械行为

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