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Neural computers

  • Algorithms and Architecturesby Cornelius T. Leondes; Cornelius T. Leondes

    Elsevier Science 1998; US$ 121.00

    This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This... more...

  • Brain-Mind Machineryby Gee-Wah Ng

    World Scientific Publishing Company 2009; US$ 127.00

    Brain-Mind Machinery provides a walkthrough to the world of brain-inspired computing and mind-related questions. Bringing together diverse viewpoints and expertise from multidisciplinary communities, the book explores the human quest to build a thinking machine with human-like capabilities. Readers will acquire a first-hand understanding of the brain... more...

  • Engineering Applications of Neural Networksby Dominic Palmer-Brown; Chrisina Draganova; Elias Pimenidis; Haris Mouratidis

    Springer 2009; US$ 119.00

    This book constitutes the refereed proceedings of the 11th International Conference on Engineering Applications of Neural Networks, EANN 2009, held in London, GB, on August 27-29, 2009. The 47 revised full papers were carefully reviewed and selected from many submissions. The following diverse topics were discussed: reducing urban concentration, entropy... more...

  • Engineering Evolutionary Intelligent Systemsby Ajith Abraham; Crina Grosan; Witold Pedrycz

    Springer 2008; US$ 169.00

    Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary Intelligent Systems' deals with the theoretical and... more...

  • FPGA Implementations of Neural Networksby Amos R. Omondi; Jagath C. Rajapakse

    Springer US 2006; US$ 199.00

    During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely... more...

  • Handbook of Neural Engineeringby Metin Akay

    Wiley 2007; US$ 221.00

    Metin Akay , PhD, is an interim chair and Professor of Bioengineering in the Harrington Department of Bioengineering at Arizona State University (ASU). He is Editor of the IEEE Press Series on Biomedical Engineering and the author, coauthor, or editor of fourteen books. His current research interests at the ASU Neural Engineering and Informatics,... more...

  • Hebbian Learning and Negative Feedback Networksby Colin Fyfe

    Springer London 2007; US$ 189.00

    This book is the outcome of a decade?s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor... more...

  • An Introduction to Neural Networksby Kevin Gurney

    CRC Press 2014; US$ 74.95

    Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation;... more...

  • Kalman Filtering and Neural Networksby Simon Haykin

    Wiley 2004; US$ 163.00

    State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals... more...

  • Kohonen Mapsby E. Oja; Samuel Kaski

    Elsevier Science 1999; US$ 185.00

    The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public... more...