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Author: Cihan H. Dagli
Publisher: American Society of Mechanical Engineers
ISBN:
Category : Computers
Languages : en
Pages : 1264
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Book Description
Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '94), November 13-16, 1994, in St. Louis, Missouri. Heightened interest in engineering applications of neural networks in recent years has led to intense research in the field. Volume 4 of this highly successful book series boasts the contributions of researchers from 20 countries. They examine the theory and applications of artificial neural networks, fuzzy logic, and evolutionary programming. The volume provides refereed versions of the latest developments in design and manufacturing engineering, including comprehensive coverage of: Artificial neural network architectures, Fuzzy neural networks, Evolutionary programming, Pattern recognition, Smart engineering systems for biology and medicine, Neuro-control, Neuro-manufacturing, and Neuro Engineering systems.
Author: Cihan H. Dagli
Publisher: American Society of Mechanical Engineers
ISBN:
Category : Computers
Languages : en
Pages : 1264
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Book Description
Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '94), November 13-16, 1994, in St. Louis, Missouri. Heightened interest in engineering applications of neural networks in recent years has led to intense research in the field. Volume 4 of this highly successful book series boasts the contributions of researchers from 20 countries. They examine the theory and applications of artificial neural networks, fuzzy logic, and evolutionary programming. The volume provides refereed versions of the latest developments in design and manufacturing engineering, including comprehensive coverage of: Artificial neural network architectures, Fuzzy neural networks, Evolutionary programming, Pattern recognition, Smart engineering systems for biology and medicine, Neuro-control, Neuro-manufacturing, and Neuro Engineering systems.
Author:
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 1024
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Book Description
Author: J.A. Tenreiro Machado
Publisher: Springer Science & Business Media
ISBN: 1402086784
Category : Computers
Languages : en
Pages : 438
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Book Description
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. The huge 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.
Author: Ram D. Sriram
Publisher: Springer Science & Business Media
ISBN: 1447106318
Category : Technology & Engineering
Languages : en
Pages : 843
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Book Description
When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities.
Author: L. C. Jain
Publisher: World Scientific
ISBN: 9789810228897
Category : Technology & Engineering
Languages : en
Pages : 204
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Book Description
This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering. It shows that these new techniques enhance the capabilities of one another. A number of hybrid systems for solving engineering problems are presented.
Author: C.H. Dagli
Publisher: Springer Science & Business Media
ISBN: 9401107130
Category : Technology & Engineering
Languages : en
Pages : 474
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Book Description
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.
Author: Oscar Castillo
Publisher: Springer Science & Business Media
ISBN: 3540762833
Category : Mathematics
Languages : en
Pages : 252
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Book Description
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.
Author: Cihan H. Dagli
Publisher: American Society of Mechanical Engineers
ISBN:
Category : Computers
Languages : en
Pages : 1068
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Book Description
The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; Pattern Recognition; 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.
Author: Cihan H. Dagli
Publisher: American Society of Mechanical Engineers
ISBN: 9780791802656
Category : Computers
Languages : en
Pages : 688
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Book Description
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.
Author: International Neural Network Society
Publisher: Psychology Press
ISBN: 9780805826081
Category : Neural networks (Computer science)
Languages : en
Pages : 1408
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Book Description
