专题：Industrial Technology and Control Systems

This cluster of papers focuses on the development and application of intelligent control systems for various industrial processes, including kiln operation, hydraulic systems, and product design. It encompasses topics such as neural networks, virtual prototyping, knowledge management, and simulation technology to optimize process control and decision-making in complex manufacturing environments.
最新文献
近5年高被引文献
Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review

review Full Text OpenAlex 116 FWCI5.8451

An integrated model of rolling force for extra-thick plate by combining theoretical model and neural network model

article Full Text OpenAlex 107 FWCI9.1264

Reinforcement learning for industrial process control: A case study in flatness control in steel industry

article Full Text OpenAlex 92 FWCI6.1854

Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method

article Full Text OpenAlex 82 FWCI4.6617

Production quality prediction of multistage manufacturing systems using multi-task joint deep learning

article Full Text OpenAlex 80 FWCI8.631

Intelligent Manufacturing Technology in the Steel Industry of China: A Review

article Full Text OpenAlex 72 FWCI6.2614

Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling

article Full Text OpenAlex 71 FWCI6.7938

Development of High-Speed On–Off Valves and Their Applications

article Full Text OpenAlex 67 FWCI4.3752

Perspectives on data-driven models and its potentials in metal forming and blanking technologies

article Full Text OpenAlex 64 FWCI3.6347

Design and study of mine silo drainage method based on fuzzy control and Avoiding Peak Filling Valley strategy

article Full Text OpenAlex 63 FWCI16.6689