Download or read book Intelligent Systems in Process Engineering Part I Paradigms from Product and Process Design written by and published by Academic Press. This book was released on 1995-11-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. - Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems - Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning - The product of ten-years experience in integrating AI into process engineering - Offers expanded and realistic formulations of real-world problems
Download or read book Intelligent Systems in Process Engineering Part II Paradigms from Process Operations written by and published by Academic Press. This book was released on 1995-11-14 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems. - Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems - Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning - The product of ten-years experience in integrating AI into process engineering - Offers expanded and realistic formulations of real-world problems
Download or read book Intelligent Systems in Process Engineering written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Systems in Process Engineering written by George Stephanopoulos and published by . This book was released on 1995 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation and control theory, and statistics. Each paradigm hasbeen constructed around an engineering problem, e.g., product design, process design, process operations monitoring, planning, scheduling, or control. Each paradigm also advances a specific methodological theme in AI, such as: Modeling languages Automation in design Symbolic and quantitative reasoning Inductive and deductive reasoning Searching spaces of discrete solutions Nonmonotonic reasoning Analogical learning Empirical learning through neural networks Reasoning in time Logic in numerical computing Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge available to be used in solving a broad range of engineering problems. Sets the foundations for the development of computer-aided tools for solving a number of distinct engineering problems Exposes the reader to a variety of AI techniques in automatic modeling, searching, reasoning, and learning Represents the product of a decade of experience in integrating AI into process engineering Offers expanded and realistic formulations of real-world problems
Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering
Download or read book Artificial Intelligence in Process Engineering written by Michael Mavrovouniotis and published by Elsevier. This book was released on 2012-12-02 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.
Download or read book First International Conference on Intelligent Systems in Process Engineering written by James F. Davis and published by . This book was released on 1996 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the July 1995 conference, detailing state-of-the-art developments in intelligent systems for various areas of process engineering. Material from technical sessions looks at issues in monitoring, analysis, and synthesis of process operations; intelligent control; intelligence in integr
Download or read book Building Intelligent Systems written by Geoff Hulten and published by Apress. This book was released on 2018-03-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Download or read book Engineering Artificially Intelligent Systems written by William F. Lawless and published by Springer Nature. This book was released on 2021-11-16 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time. To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.
Download or read book Artificial Intelligence in Process Engineering written by George Stephanopoulos and published by . This book was released on 1986 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrated Distributed Intelligent Systems for Engineering Design written by Ming Rao and published by CRC Press. This book was released on 1996-11-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the philosophy, methodology, techniques, and applications of IDIS for engineering design. Looks at recent research, and details a five-step problem-solving strategy of problem definition, conceptual design, parameter design, design analysis, and design evaluation. Describes industrial applications of IDIS, including the design of a mechanical transmission, a heat exchanger network, and a process control system. For graduate courses on engineering design, artificial intelligence, and computer integrated manufacturing. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book Systems Engineering and Artificial Intelligence written by William F. Lawless and published by Springer Nature. This book was released on 2021-11-02 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
Download or read book Manufacturing Intelligence for Industrial Engineering Methods for System Self Organization Learning and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Download or read book Intelligent Systems in Design and Manufacturing written by Cihan H. Dagli and published by American Society of Mechanical Engineers. This book was released on 1994 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on solutions to problems in design and manufacturing engineering, presenting a variety of problem solving approaches and practical examples. Covers neural networks and other artificial intelligence tools, computational models for conceptual design, desirable functionalities of intelligent CA
Download or read book Intelligent Based Systems Engineering written by Andreas Tolk and published by Springer Science & Business Media. This book was released on 2011-03-11 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Council on Systems Engineering (INCOSE) defines Systems Engineering as an interdisciplinary approach and means to enable the realization of successful systems. Researchers are using intelligence-based techniques to support the practices of systems engineering in an innovative way. This research volume includes a selection of contributions by subject experts to design better systems.
Download or read book Intelligent Systems in Production Engineering and Maintenance III written by Anna Burduk and published by Springer Nature. This book was released on 2023-10-28 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on intelligent methods and solutions in engineering production and maintenance. It describes advanced tools for optimizing production processes, increasing their automation, safety and sustainability. Contributions cover different stages of the production process, such as product design, supply chain, and equipment maintenance and safety. This is one of the two volumes based on the 4th International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023, held on September 13-15, 2023, in Wroclaw, Poland.
Download or read book Intelligent Systems written by Yung C. Shin and published by CRC Press. This book was released on 2009 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering an introduction to the field of soft computing techniques, this book covers various major techniques in artificial intelligence. It highlights research and applications, addresses issues encountered in the development of applied systems, and describes a range of intelligent systems techniques.
