文章名稱引用次數(shù)

• Advances in surrogate based modeling, feasibility analysis, and optimization: A review58
• Deep convolutional neural network model based chemical process fault diagnosis57
• Machine learning: Overview of the recent progresses and implications for the process systems engineering field41
• Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming26
• Challenges in process optimization for new feedstocks and energy sources24
• Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach22
• Advances and opportunities in machine learning for process data analytics21
• Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks17
• Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods17
• Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations17