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Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
ISBN: 9781402003943
Category : Mathematics
Languages : en
Pages : 380
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Book Description
This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.
Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
ISBN: 9781402003943
Category : Mathematics
Languages : en
Pages : 380
Get Book Here
Book Description
This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.
Author: Moonis Ali
Publisher: CRC Press
ISBN: 9780897912716
Category : Artificial intelligence
Languages : en
Pages : 636
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Book Description
Author: M. Chen
Publisher: IOS Press
ISBN: 1643684396
Category : Technology & Engineering
Languages : en
Pages : 1172
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Book Description
New engineering materials, techniques and applications are constantly being researched and developed, and keeping up to speed with the latest advances is crucial for engineers if they are to successfully address the challenges they face in their work. This book presents the selected proceedings of MMSE2023, the 9th International Conference on Advances in Machinery, Materials Science and Engineering Applications, jointly organized by the SAE-Supmeca, France and China University of Geosciences (Wuhan) and held on 22 and 23 July 2023 in Wuhan, China. For the past 12 years, this annual conference has collated recent advances and experiences, identified emerging trends and provided a platform for participants from academia and industry to exchange information and views, helping to address the world’s machinery and engineering challenges. The book contains 4 sections: mechanical engineering, material science and manufacturing technology; electrical engineering, automation and control; modeling, simulation and optimization techniques in engineering; and advanced engineering technologies and applications. A total of 241 submissions were received for MMSE2023, of which 151 papers were selected for the conference and for publication by means of a rigorous international peer-review process. These papers present exciting ideas and methods that will open novel research directions for different communities. Offering a current overview of the latest research and applications in machinery and materials-science engineering, the book will be of interest to all those working in the field.
Author: George Vachtsevanos
Publisher: Wiley
ISBN: 9780471729990
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems gives a complete presentation of basic essentials of fault diagnosis and failure prognosis, and takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance. It thoroughly details the interdisciplinary methods required to understand the physics of failure mechanisms in materials, structures, and rotating equipment, and also presents strategies to detect faults or incipient failures and predict the remaining useful life of failing components. Case studies are used throughout the book to illustrate enabling technologies. Intelligent Fault Diagnosis and Prognosis for Engineering Systems offers material in a holistic and integrated approach that addresses the various interdisciplinary components of the field--from electrical, mechanical, industrial, and computer engineering to business management. This invaluably helpful book: * Includes state-of-the-art algorithms, methodologies, and contributions from leading experts, including cost-benefit analysis tools and performance assessment techniques * Covers theory and practice in a way that is rooted in industry research and experience * Presents the only systematic, holistic approach to a strongly interdisciplinary topic
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309091195
Category : Science
Languages : en
Pages : 144
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Book Description
The National Research Council (NRC) of the National Academies was asked by NASA and the Office of Management and Budget to perform an assessment of NASA's Aerospace Technology Enterprise. The first such review, which began in early 2002, examined Pioneering Revolutionary Technology (now known as Mission and Science Measurement Technology). The assessment presented here, of the Aeronautics Technology Programs, began in early 2003 and is the second in the review series. The Aeronautics Technology Programs has three components: the Vehicle Systems Program, the Airspace Systems Program, and the Aviation Safety Program. To conduct this review, the NRC established three panels, one for each of the component programs. The NRC also established a parent committee, consisting of the chairman and a subset of members from each panel. The committee and panels comprised a cross-section of experts from industry, academia, and government and included senior-level managers and researchers in the aeronautics field. Biographical information on the committee and panel members is found in Appendix A. Review of NASA's Aerospace Technology Enterprise: An Assessment of NASA's Aeronautics Technology Programs contains the committee's assessment of the Aeronautics Technology Programs. Chapter 1 presents a top-level assessment, and Chapters 2 through 4 provide the assessments of the Vehicle Systems Program, the Airspace Systems Program, and the Aviation Safety Program, respectively.
Author: Andreas Linke-Diesinger
Publisher: Springer Science & Business Media
ISBN: 3540736190
Category : Technology & Engineering
Languages : en
Pages : 239
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Book Description
To understand the operation of aircraft gas turbine engines, it is not enough to know the basic operation of a gas turbine. It is also necessary to understand the operation and the design of its auxiliary systems. This book fills that need by providing an introduction to the operating principles underlying systems of modern commercial turbofan engines and bringing readers up to date with the latest technology. It also offers a basic overview of the tubes, lines, and system components installed on a complex turbofan engine. Readers can follow detailed examples that describe engines from different manufacturers. The text is recommended for aircraft engineers and mechanics, aeronautical engineering students, and pilots.
Author: Barclay R. Brown
Publisher: John Wiley & Sons
ISBN: 1119665590
Category : Technology & Engineering
Languages : en
Pages : 390
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Book Description
Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown’s 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking—the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems—systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 704
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Book Description
Author: Gregory F. Treverton
Publisher: Cambridge University Press
ISBN: 1139488732
Category : Political Science
Languages : en
Pages : 303
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Book Description
A series of investigations, especially in Great Britain and the United States, have focused attention on the performance of national intelligence services. At the same time, terrorism and a broad span of trans-national security challenges has highlighted the crucial role of intelligence. This book takes stock of the underlying intellectual sub-structure of intelligence. For intelligence, as for other areas of policy, serious intellectual inquiry is the basis for improving the performance of real-world institutions. The volume explores intelligence from an intellectual perspective, not an organizational one. Instead the book identifies themes that run through these applications, such as the lack of comprehensive theories, the unclear relations between providers and users of intelligence, and the predominance of bureaucratic organizations driven by collection. A key element is the development, or rather non-development, of intelligence toward an established set of methods and standards and, above all, an ongoing scientific discourse.
Author: Alaa Abdulhady Jaber
Publisher: Springer
ISBN: 331944932X
Category : Technology & Engineering
Languages : en
Pages : 302
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Book Description
This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
