机译:基于通用综合数据的Mini / Micro-andlels中预测流沸压降的机器学习算法
Department of Mechanical and Aerospace Engineering Case Western Reserve University 10900 Euclid Avenue Cleveland OH 44106 USA;
Mechanical and Aerospace Engineering Department University of California Los Angeles CA 90095 USA;
School of Mechanical Engineering Sungkyunkwan University 300 Cheoncheon-dong Suwon 16419 Republic of Korea;
School of Mechanical Engineering 585 Purdue Mall West Lafayette IN 47907-2088 USA;
Department of Mechanical and Aerospace Engineering Case Western Reserve University 10900 Euclid Avenue Cleveland OH 44106 USA;
Machine learning; Neural networks; Ann; XGBoost; KNN; Light GBM; Flow boiling; Pressure drop;
机译:基于通用合并数据的微/微通道饱和流沸腾传热系数的人工神经网络模型
机译:机器学习算法预测利用通用数据的迷你/微信道中的流动冷凝传热系数
机译:微型/微通道饱和流沸腾预测两相摩擦压降的通用方法
机译:微通道流沸腾的流型,传热和压降行为
机译:通用预测工具,用于沸腾和冷凝微型/微通道流中的两相压降和传热。
机译:基于树的机器学习算法与Cox回归预测中口腔和咽癌存活的比较:基于SEER数据库分析
机译:微通道流动沸腾过程中两相压降波动的分析