Средства и методы разработки

Подборка буков по теме. Evolvable Hardware (Genetic and Evolutionary Computation), 9780387243863 (0387243860), Springer, 2006 http://zalil.ru/32112564 Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The emergence of this field has been profoundly influenced by the progress in reconfigurable hardware and evolutionary computation. Traditional hardware can be inflexible – the structure and its functions are often impossible to change once it is created. However, most real world problems are not fixed – they change with time. In order to deal with these problems efficiently and effectively, different hardware structures are necessary. EHW provides an ideal approach to make hardware "soft" by adapting the structure to a problem dynamically. The contributions in this book provide the basics of reconfigurable devices so that readers will be fully prepared to understand what EHW is, why it is necessary and how it is designed. The book also discusses the leading research in digital, analog and mechanical EHW. Evolvable Machines: Theory & Practice (Studies in Fuzziness and Soft Computing), 9783540229056 (3540229051), Springer, 2004 http://zalil.ru/32112622 "Evolutionary algorithms are one of the very promising developments in Computer Science that can solve difficult problems … . The presented book is an excellent example for the successful application of these methods to the Design of Machines … . A very interesting book, highly recommendable for scientists interested in evolvable systems, but also for all scientists who have to solve special different problems in various application areas." (Christian Posthoff, Zentralblatt MATH, Vol. 1064, 2005) Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. Evolvable Machines reports innovative and significant progress in automatic and evolutionary methodology applied to machine design. This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design. Intelligent Paradigms for Assistive and Preventive Healthcare (Studies in Computational Intelligence), 9783540317623 (3540317627), Springer, 2006 http://zalil.ru/32112667 This book presents some of the recent advances in assistive and preventive healthcare in intelligent environment. As the world is becoming increasingly aware of the needs of people with disabilities, researchers are finding new technologies and applications to assist disabled people in performing the everyday activities which able-bodied people often take for granted. Ubiquitous healthcare is introduced in terms of technology and service, considering the current technology as well as the future technology and services. In the first section, we introduce the key techniques of ubiquitous healthcare for next-generation medical treatment services. In the second section, we introduce the wireless sensor network (WSN) and ANTS (an Evolvable Network of Tiny Sensors). In the last section, we discuss real-time health-monitoring network for the disabled and elderly people using an inexpensive and effective Web server and health-monitoring sensors in a wrist phone. The development of high speed Internet technology and by the use of a wireless network enable medical multimedia systems to support numerous data types (video, audio and biological data). This in turn, made it possible to effectively provide medical treatments to the patients remotely and to help prevent disease. Ubiquitous healthcare system can be regarded as the combination of the Internet and biological measuring devices to manage patients’ disease without the limitation of time and space and without resorting to specific types of measuring device. In short, it is an upgraded version of the biological measuring devices with data transmission capability. There is a tendency for the measuring devices to be smaller, able to be attached using wireless, digitized and using less power. Computational Intelligence: Engineering of Hybrid Systems, 9783540232193 (3540232192), Springer, 2005 http://zalil.ru/32112705 Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence. The Soft Computing framework or Computational Intelligence with its large variety of efficient applications is hugely fascinating. Problems in engineering, computational science and the physical and biological sciences are using the increasingly sophisticated methods of Computational Intelligence. Because of the high interdisciplinary requirements featuring most real-world applications, no bridge exists between the different stand alone Intelligent Technologies, namely Fuzzy Systems, Neural Networks, Evolutionary Algorithms, DNA Computing, Artificial Immune Systems and Knowledge Based Systems. The concomitant increase in dialogue and interconnection between the Intelligent Technologies has led to Computational Intelligence and its practical implementation – the Hybrid Intelligent Systems. The idea of writing a book on this topic first crossed my mind in 1996, and I am really happy that the book is finally complete. Initially I thought this book would be of real help to my gifted students at the Department of Applied Electronics and at the Department of Automatics in the Faculty of Electrical Engineering and Navy of the University “Dunarea de Jos” Galati, Romania. New ideas and suggestions regarding the final structure of the book were obtained from students attending my course on Intelligent Multi-Agent Hybrid Systems at Wellington Institute of Technology, New Zealand. They were really pleased to become familiar with the Intelligent Technologies and with some typical competitive software, such as Neural Network Professional II Plus and Soft Computing Genetic Tool. Their interest in this area gave me the stimulus to finish the book. My intention was to be helpful to the students, not to exempt them from intellectual effort, but to put as much illustrative information as possible into the book. The purpose was to create a very clear image of what Computational Intelligence is in general terms, and to convince them that Hybrid Intelligent Systems are really nothing else but the engineering implementation of Computational Intelligence.