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A01=José A. Romagnoli
A01=Luis Briceño-Mena
A01=Vidhyadhar Manee
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Age Group_Uncategorized
Author_José A. Romagnoli
Author_Luis Briceño-Mena
Author_Vidhyadhar Manee
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Category1=Non-Fiction
Category=TC
Category=TDCB
Category=TJFM
Category=UNF
Category=UY
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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AI in Chemical Engineering: Unlocking the Power Within Data

Industry 4.0 is revolutionizing chemical manufacturing. Today's chemical companies are swiftly embracing the digital era, recognizing the significant benefits of interconnected products, production equipment, and personnel. As technology advances and production volumes grow, there is an increasing need for new computational tools and innovative solutions to address everyday challenges. AI in Chemical Engineering: Unlocking the Power Within Data introduces readers to the essential concepts of machine learning and their application in the chemical and process industries, aiming to enhance efficiency, adaptability, and profitability. This work delves into the transformation of traditional plant operations into integrated and intelligent systems, providing readers with a foundation for developing and understanding the tools necessary for data collection and analysis, thereby gaining valuable insights and practical applications.

Introduces the principles and applications of unsupervised learning and discusses the role of machine learning in extracting information from plant data and transforming it into knowledge.

Conveys the concepts, principles, and applications of supervised learning, setting the stage for developing advanced monitoring systems, complex predictive models, and advanced computer vision applications.

Explores implementation of reinforced learning ideas for chemical process control and optimization, investigating various model structures and discussing their practical implementation in both simulation and experimental units.

Incorporates sample code examples in Python to illustrate key concepts.

Includes real-life case studies in the context of chemical engineering and covers a wide variety of chemical engineering applications from oil and gas to bioengineering and electrochemistry.

Clearly defines types of problems in chemical engineering subject to AI solutions and relates them to subfields of AI.

This practical text, designed for advanced chemical engineering students and industry practitioners, introduces concepts and theories in a logical and sequential manner. It serves as an essential resource, helping readers understand both current and emerging developments in this important and evolving field.

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Original price €123.99
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A01=José A. RomagnoliA01=Luis Briceño-MenaA01=Vidhyadhar ManeeAge Group_UncategorizedAuthor_José A. RomagnoliAuthor_Luis Briceño-MenaAuthor_Vidhyadhar Maneeautomatic-updateCategory1=Non-FictionCategory=TCCategory=TDCBCategory=TJFMCategory=UNFCategory=UYCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 31 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 31 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032597003

About José A. RomagnoliLuis Briceño-MenaVidhyadhar Manee

Jose A. Romagnoli is the Gordon & Mary Cain Endowed Chair Professor of Process Systems Engineering Department of Chemical Engineering Louisiana State University. He received his Ph.D. from University of Minnesota.Luis A. Briceno-Mena works at Dow on their Machine Learning Optimization and Statistics team. He received his Ph.D. in Chemical Engineering from Louisiana State University.Vidhyadhar Manee is a Senior Scientist in Process Research at Boehringer Ingelheim Pharmaceuticals Inc. He received his Ph.D. in Chemical Engineering from Louisiana State University.

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