Artificial Neural Networks in Chemical Engineering Processes by Ahad Ghaemi

Artificial Neural Networks in Chemical Engineering Processes by Ahad Ghaemi

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Artificial Neural Networks in Chemical Engineering Processes by Ahad Ghaemi

Artificial Neural Networks in Chemical Engineering Processes: From Theory to Applications serves as a comprehensive resource on artificial neural networks within chemical engineering, including understanding the fundamental principles, learning about relevant algorithms and architectures, and exploring practical case studies. This book covers theoretical principles, relevant algorithms, and practical case studies, this book covers artificial neural network concepts, architectures, and algorithms, with a focus on applications in chemical engineering processes. This book also addressed common challenges by providing practical guidance through successful case studies, offering insights on data pre-processing, model selection, training strategies, and performance evaluation. The book serves as a valuable tool for bridging the gap between neural networks and their practical implementation in chemical engineering. This book will be an invaluable resource for chemical Engineers, particularly researchers and industry professionals working in Machine Learning and Artificial Intelligence. It will also be a very useful guide for Graduate and Postgraduate Students in Chemical Engineering and machine learning. Artificial Neural Networks in Chemical Engineering will also be a valuable resource for anyone working with artificial neural networks in other industries, particularly data scientists and analysts.
Ahad Ghaemi is a Professor in the School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology. His research interests include process design, modeling and simulation, gas and petroleum industries, computational fluid dynamics, artificial intelligence, artificial neural networks, separation and purification processes, synthesis methods, environmental engineering, nanotechnology, and nano-adsorbents. Zohreh Khoshraftar is a Post-Doctoral Researcher in the School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology. Her research fields encompass artificial neural networks in chemical engineering, design-expert, materials synthesis, pesticides, nanotechnology, and separation processes.
SKU Unavailable
ISBN 13 9780443328329
ISBN 10 0443328323
Title Artificial Neural Networks in Chemical Engineering Processes
Author Ahad Ghaemi
Condition Unavailable
Binding Type Paperback
Publisher Elsevier - Health Sciences Division
Year published 2025-12-08
Number of pages 462
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.