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优化算法和计算复杂度对混凝土压力强度预测的影响 机器学习模型用于混凝土混合设计

Patryk Ziolkowski1

  • 1Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland.

Materials (Basel, Switzerland)
|March 27, 2025
PubMed
概括

准牛顿方法 (QNM) 为混凝土混合设计优化深度神经网络,优于ADAM和SGD. 这种人工智能驱动的方法提高了预测准确度,以获得更坚固,更环保的混凝土.

关键词:
应用机器学习 应用机器学习建筑物建筑物建筑物建筑物在水泥,水泥,水泥.混凝土混凝土混凝土是什么混凝土混凝土混合设计设计混凝土强度预测预测建筑行业 建筑行业 建筑行业数据挖掘是数据挖掘的一个方法.绿色建筑是一个绿色建筑.创新 创新 创新 创新 创新 创新可持续性 可持续性的可持续性一个可持续的可持续的可持续的可持续.可持续发展的发展是可持续的发展.

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