Best Reference Books – Artificial Intelligence in Process Engineering

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We have compiled a list of Best Reference Books on Artificial Intelligence in Process Engineering Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Artificial Intelligence in Process Engineering.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.

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1. “Problem Solving Methods in Artificial Intelligence” by N L Nilsson
2. “Artificial Intelligence in Chemical Engineering” by T E Quantrille and Y A Liu

“Artificial Intelligence in Chemical Engineering” Book Review: The main idea of the book is implementation of AI programming, AI principles and theories in the field of chemical engineering. The book is of use to students and practitioners of chemical engineering and also computer scientists interested in the subject. The book describes the computational methods used in performing engineering tasks used in artificial intelligence concepts. The book starts by giving key features of artificial intelligent systems and then explains the applications of it in the field of chemical engineering. The final part of the book includes Artificial Neural Networks (ANNs). The reader can find numerous illustrations, simple and complex exercises throughout the text. The book also contains a computer diskette for an illustrated case study.

3. “Introduction to Artificial Neural Systems” by J Zuarda

“Introduction to Artificial Neural Systems” Book Review: The book covers algorithms of Artificial Neural Networks while commenting on their stability. The book is recommended to neural engineers interested in the domain. The first chapters familiarize the readers with the fundamentals of neural networks. The book eventually dwells into more complex topics such as applications in software. The reader can find various illustrations, pseudocodes that help in a clearer understanding of the subject. The book is written in a comprehensible manner.

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4. “Intelligent Systems in Process Engineering” by G Stephanopoulos and V Venkatasubramanian

“Intelligent Systems in Process Engineering” Book Review: The book integrates concepts of Artificial Intelligence with those of operations research, estimation and control theory, and statistics. The book elucidates the concepts using various models, each developed pertaining to an engineering problem such as product design, process design, process operations monitoring, planning, scheduling, or control. Each developed pattern also brings forward a key concept of AI including modeling languages, automation in design. symbolic and quantitative reasoning, inductive and deductive reasoning. A few other concepts described in the book are searching spaces of discrete solutions, non-monotonic reasoning, analogical learning, empirical learning through neural networks, reasoning in time, and logic in numerical computing.

5. “Fundamentals of Food Process Engineering” by Romeo T Toledo

“Fundamentals of Food Process Engineering” Book Review: The book talks about various aspects of Food Processing techniques. The book is targeted at upper level graduate students of food engineering and professionals in the field. The updated and revised 3rd edition of the book involves more concepts in addition to technological principles, parameters of choosing a food processing method. Enthalpy change calculations in freezing based on the freezing point depression, evaporative cooling, interpretation of pump performance curves. determination of shape factors in heat exchange by radiation constitute a few of the concepts being described. Other concepts also include osmotic pressure and water activity relationship, vacuum dehydration, new membranes commercially available for food processing and waste treatment, supercritical fluid extraction.

6. “Introduction to Food Process Engineering” by Ibarz Barbosa-Canovas

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“Introduction to Food Process Engineering” Book Review: The book covers the key concepts of operation of food processing units. The book talks in detail about both conventional and non-conventional food processes while also mentioning novel means under development. The book discusses dimensional analysis and similarities, physicochemistry of food systems at first. Furthermore, the book deals with Heat and mass transfer in food. food rheology, physical properties, water activity in subsequent chapters. Final sections of the book contain concepts of Thermal processing, chilling and freezing, evaporation, dehydration. The concepts are complemented by various illustrations and problems with solutions.

7. “Introduction to Food Process Engineering” by P G Smith

“Introduction to Food Process Engineering” Book Review: The book describes the concepts of the food process in a detailed yet brief manner. The book is of use to both students and practitioners of the field. The book takes a mathematical approach to the concepts to enable the readers to use mathematical and quantitative analyses of food processes. The preliminaries of the book are fundamentals of differential and integral calculus. The reader can find worked examples and problems with solutions at the end of each chapter to their aid.

8. “Artificial Intelligence : A Modern Approach” by Norvig and Russell

“Artificial Intelligence : A Modern Approach” Book Review: The updated and revised edition contains the advancements in the field of Artificial Intelligence. The book is of use to newcomers to the field. The book talks about a few applications of AI such as deployment of practical speech recognition, machine translation. It also explains probabilistic reasoning, machine learning and computer vision of AI. A few other concepts covered are: autonomous vehicles and household robotics, algorithmic solution of a game of checkers.

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9. “Artificial Intelligence” by Luger

“Artificial Intelligence” Book Review: The main idea of the book is to provide an introduction of both theoretical and practical aspects of AI. Undergraduate or graduate-level students can refer to this book. The book starts by giving an introduction to artificial intelligence and problem solving strategies. Later sections of the book also contain concepts of Uncertain Knowledge and Reasoning, learning. The book also provides a detailed conclusion to all the concepts at the end of the book. The reader can find examples, solved problems for the mathematical concepts involved.

10. “Artificial Intelligence and Machine Learning” by Vinod Chandra S

“Artificial Intelligence and Machine Learning” Book Review: This book mainly elucidates concepts of Artificial Intelligence and its applications in our day to day life. The book introduces the topic to beginners interested in the domain. The book starts by explaining the basics of artificial intelligence, applications in the computing world. The book also covers implementations of AI in trading and Financial Investing, Artificial Intelligent Software, and Sentence Diagramming. Various challenges faced in the domain along with some examples of near human work of AI are presented. Emphasis is laid on the difference between the response of stimuli by humans and that by artificial intelligence machines.

People who are searching for Free downloads of books and free pdf copies of these books – “Problem Solving Methods in Artificial Intelligence” by N L Nilsson, “Artificial Intelligence in Chemical Engineering” by T E Quantrille and Y A Liu, “Introduction to Artificial Neural Systems” by J Zuarda, “Intelligent Systems in Process Engineering” by G Stephanopoulos and V Venkatasubramanian, “Fundamentals of Food Process Engineering” by Romeo T Toledo, “Introduction to Food Process Engineering” by Ibarz Barbosa-Canovas, “Introduction to Food Process Engineering” by P G Smith, “Artificial Intelligence : A Modern Approach” by Norvig and Russell, “Artificial Intelligence” by Luger, “Artificial Intelligence and Machine Learning” by Vinod Chandra S – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Artificial Intelligence in Process Engineering” so that one can readily see the list of top books on “Artificial Intelligence in Process Engineering” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Artificial Intelligence in Process Engineering Subject, please let us know.

Sanfoundry Global Education & Learning Series – Best Reference Books!

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn