Intelligent Engineering Systems Through Artificial Neural Networks Vol 8
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Intelligent Engineering Systems Through Artificial Neural Networks Vol 8
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Author : Cihan H Dagli
language : en
Publisher:
Release Date : 1998
Intelligent Engineering Systems Through Artificial Neural Networks Vol 8 written by Cihan H Dagli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 98), November 1-4, 1998, St Louis, Missouri. The papers compiled in this book focus on building smart components to engineering systems currently available. The term smart in this context indicates physical systems that can interact with their environment and adapt to changes in both space and time by their ability to manipulate that enrironment through self-awareness and perceived models of the world based on both quantitative and qualitative information. Recent technologies such as neural networks, fuzzy logic, evolutionary programming, data mining, and rough sets from the basis of Smart Engineering System Design. Eight meeting since the foundation of the conference in 1991. Includes subject and author indices.
Intelligent Engineering Systems Through Artificial Neural Networks
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Author : Cihan H. Dagli
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 1995
Intelligent Engineering Systems Through Artificial Neural Networks written by Cihan H. Dagli and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
As a follow-up to the previous four volumes of Intelligent Engineering Systems Through Artificial Neural Networks by the same editor, the present volume contains the edited versions of the technical presentations of ANNIE '95, held November, 1995 in St. Louis, Missouri. The 160-some contributions are grouped into six categories: artificial neural network architectures (including subsections on architectures and learning algorithms and training); fuzzy neural networks and systems; evolutionary programming; pattern recognition; adaptive control; and smart engineering system design (including bio-medical engineering systems; signal processing; forecasting; environmental applications; machining and robotics; process control, monitoring, and automated inspection; and general engineering). Includes bandw photographs, diagrams, and charts. Annotation copyright by Book News, Inc., Portland, OR
Intelligent Engineering Systems Through Artificial Neural Networks
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Author :
language : en
Publisher:
Release Date : 1991
Intelligent Engineering Systems Through Artificial Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Neural networks (Computer science) categories.
Artificial Neural Networks For Intelligent Manufacturing
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Author : C.H. Dagli
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Neural Networks For Intelligent Manufacturing written by C.H. Dagli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.
Intelligent Engineering Systems And Computational Cybernetics
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Author : J.A. Tenreiro Machado
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-18
Intelligent Engineering Systems And Computational Cybernetics written by J.A. Tenreiro Machado and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-18 with Computers categories.
Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. These approaches normally are too categorical in the sense that in the name of “modelling accuracy” they try to describe all the structural details of the real physical system to be modelled. This can significantly increase the intricacy of the model and may result in a enormous computational burden without achieving considerable improvement of the solution. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. Thehuge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.
Smart Engineering System Design
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Author : Cihan H. Dagli
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 2002
Smart Engineering System Design written by Cihan H. Dagli and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Proceedings of the Artificial Neural Networks in Engineering Conference, November 2002, St. Louis, Missouri. This annual conference publication presents refereed papers covering the following categories and their applications in the engineering domain: Neural Networks, Complex Systems, Evolutionary Programming, Data Mining, Fuzzy Logic, Adaptive Control, Pattern Recognition and Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.
Smart Engineering Systems
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Author : Cihan H. Dagli
language : en
Publisher:
Release Date : 1998
Smart Engineering Systems written by Cihan H. Dagli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Artificial intelligence categories.
Investigating a noise cancellation system for speakerphones. Reproduced from typescripts. Annotation copyrighted by Book News, Inc., Portland, OR.
Smart Systems Engineering
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Author : Cihan H. Dagli
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 2007
Smart Systems Engineering written by Cihan H. Dagli and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
The papers included in this volume provide a forum for researchers in computational intelligence field to exchange ideas on smart engineering systems architecting and design.
System Level Power Optimization For Wireless Multimedia Communication
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Author : Ramesh Karri
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
System Level Power Optimization For Wireless Multimedia Communication written by Ramesh Karri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Technology & Engineering categories.
This book focuses on emerging issues in power-aware portable multimedia communications devices beyond low-power electronic design. It compiles system-level power management approaches, from theoretical and simulation studies to experimental test beds related to low power computing, mobile communication and networking.
Learning To Learn
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Author : Sebastian Thrun
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Learning To Learn written by Sebastian Thrun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.