Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms PDF Author: Bartlomiej Beliczynski
Publisher: Springer
ISBN: 3540716181
Category : Computers
Languages : en
Pages : 868

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Book Description
This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.

Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms PDF Author: Bartlomiej Beliczynski
Publisher: Springer
ISBN: 3540716181
Category : Computers
Languages : en
Pages : 868

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Book Description
This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.

Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms PDF Author: Andrej Dobnikar
Publisher: Springer
ISBN: 3642202675
Category : Computers
Languages : en
Pages : 418

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Book Description
The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The second volume includes 41 papers organized in topical sections on pattern recognition and learning, soft computing, systems theory, support vector machines, and bioinformatics.

Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms PDF Author: Bernadete Ribeiro
Publisher: Springer Science & Business Media
ISBN: 9783211249345
Category : Computers
Languages : en
Pages : 568

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Book Description
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.

Adaptive and Natural Computing Algorithms

Adaptive and Natural Computing Algorithms PDF Author: Bernadete Ribeiro
Publisher: Springer Science & Business Media
ISBN: 3211273891
Category : Computers
Languages : en
Pages : 561

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Book Description
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.

Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies

Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies PDF Author: Mo, Hongwei
Publisher: IGI Global
ISBN: 1605663115
Category : Computers
Languages : en
Pages : 633

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Book Description
"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.

Handbook of Research on Natural Computing for Optimization Problems

Handbook of Research on Natural Computing for Optimization Problems PDF Author: Mandal, Jyotsna Kumar
Publisher: IGI Global
ISBN: 1522500596
Category : Computers
Languages : en
Pages : 1199

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Book Description
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

An Introduction to Natural Computation

An Introduction to Natural Computation PDF Author: Dana H. Ballard
Publisher: MIT Press
ISBN: 9780262522588
Category : Psychology
Languages : en
Pages : 338

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Book Description
This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models—ranging from neural network learning through reinforcement learning to genetic learning—and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.

Adaptation in Natural and Artificial Systems

Adaptation in Natural and Artificial Systems PDF Author: John H. Holland
Publisher: MIT Press
ISBN: 9780262581110
Category : Psychology
Languages : en
Pages : 236

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Book Description
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines

Natural Computing: DNA, Quantum Bits, and the Future of Smart Machines PDF Author: Dennis E. Shasha
Publisher: W. W. Norton & Company
ISBN: 0393336832
Category : Computers
Languages : en
Pages : 297

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Book Description
Drawing on interviews with 15 leading scientists, the authors present an unexpected vision: the future of computing is a synthesis with nature.

Natural Computing Algorithms

Natural Computing Algorithms PDF Author: Anthony Brabazon
Publisher: Springer
ISBN: 3662436310
Category : Computers
Languages : en
Pages : 554

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Book Description
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.