From the Back Cover:
Chemical engineers will find in this text a straightforward, clear, and practical introduction to artificial intelligence (AI) as it applies to their field. Emphasizing the use of PROLONG, an AI language long popular abroad and the preferred AI language for chemical engineers in the United States, the authors move beyond the principles of AI into its practical applications. The text is enhanced with numerous examples, exercises, and sample problems in a chemical engineering context.
The text will also be of interest to graduate students, engineers practicing in industry, and computer scientists interested in chemical engineering applications.
Review:
"At long last, here is a comprehensive, yet very readable, exposition of the emerging science of artificial intelligence (AI) as it relates to the practice of chemical engineering...this book is a must reading for any serious student of AI in the chemical process industries. After working through the examples and exercises, an engineer will have the breadth and depth to develop typical knowledge-based systems...An excellent feature of this book is the final chapter on artificial neural networks (ANNs), which have received much attention recently as a powerful new tool for numerical, empirical modeling of processes. Even without any prior knowledge of ANNs, a reader should be able to understand their basic purpose and structure, and get a good sense of their capabilities as well as limitations. In essence, the book covers everything a reader should know about AI, but has long been afraid to ask....This book belongs to a class by itself in providing a thorough coverage of the fundamentals of AI, and illustrating their applications with concrete examples from the CPI. Above all, it is a pleasure to read, unlike, alas, most other books on this fascinating subject."
--CHEMICAL ENGINEERING
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