Nanoscale Heat Transfer Group

 

机器学习      

 

机器学习





  1. This code is used in the article "Forecasting solar still performance from conventional weather data variation by machine learning method". Based on meteorological data, the random forest model and Bayesian optimization are used to forecast the output of solar stills and use the forecasting model for practice.
    details.

  2. This code is used in the article "Prediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm". Based on experimental data, the random forest model and the artificial neural network model with the Bayesian optimization are used to forecast the output of the tubu solar still.
    details.

  3. “This code is used in the article " Yunpeng Wang, Shibo Liu, Jia Cheng, Xiao Wan, Wentao Feng, Nuo Yang* and Chun Zou*. "A New Machine Learning Algorithm to Optimize A Reduced Mechanism of 2-Butanone and the Comparison with Other Algorithms" ES Mater. Manuf., 2019, 6, 28–37”
    details.