AI in Chemical Engineering

AI in Chemical Engineering

Unlocking the Power Within Data

Romagnoli, Jose A.; Briceno-Mena, Luis; Manee, Vidhyadhar

Taylor & Francis Ltd

12/2024

286

Dura

9781032597003

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Smart Manufacturing and Machine Learning. 2. Data and Data Pretreatment. 3. Dimensionality Reduction (DR). 4. Clustering. 5. Unsupervised Learning Case Study. 6. Concepts and Definitions. 7. Predictive Models. 8. Supervised Learning Case Studies. 9. Deep Learning. 10. Deep Learning Case Studies. 11. Reinforcement Learning. 12. Reinforcement Learning Case Studies. 13. Generative AI. Appendix A. FASTMAN-JMP Tool Architecture. Appendix B. Tennessee Eastman Process (TEP). Appendix C. High-Temperature PEM Fuel Cell Modelling. Appendix D. Distance Metrics for Clustering.
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Machine Learning;unsupervised machine learning;supervised machine learning;computer vision;artificial intelligence;predictive modeling;chemical plant operations;industry 4.0;smart manufacturing;process control;process optimization