Best Reference Books for Artificial Intelligence In Process Engineering

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List of "Best Reference Books for Artificial Intelligence In Process Engineering" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.

  1. Artificial Intelligence in Process Engineering by
    Academic Press Inc (Number of pages: 384)
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  2. Applications of Metaheuristics in Process Engineering by
    Springer (Number of pages: 444)
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  3. Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method (SpringerBriefs in Applied Sciences and Technology) by Ramón Quiza,Omar López-Armas,Joao Paulo Davim
    Springer (Number of pages: 95)
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  4. Artificial Intelligence in Engineering: Robotics and Processes by
    Elsevier Science Ltd (Number of pages: 403)
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  5. Workflow and Process Automation: Concepts and Technology (The Springer International Series in Engineering and Computer Science) by Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk
    Springer (Number of pages: 121)
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  6. Workflow and Process Automation: Concepts and Technology (The Springer International Series in Engineering and Computer Science) by Andrzej Cichocki,Helal A. Ansari,Marek Rusinkiewicz,Darrell Woelk
    Springer (Number of pages: 121)
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  7. Agile Business Rule Development: Process, Architecture, and JRules Examples by Jérôme Boyer,Hafedh Mili
    Springer (Number of pages: 567)
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  8. Non-Linear Feedback Neural Networks: VLSI Implementations and Applications (Studies in Computational Intelligence) by Mohd. Samar Ansari
    Springer (Number of pages: 201)
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  9. Advances in Differential Evolution (Studies in Computational Intelligence) by
    Springer (Number of pages: 339)
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  10. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence) by
    Springer (Number of pages: 349)
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