Academic: Neural computers Ebooks

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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...
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Brain-Mind Machineryby Gee-Wah Ng
World Scientific Publishing Company 2009; US$ 93.00
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...
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Hebbian Learning and Negative Feedback Networksby Colin Fyfe
Springer 2007; US$ 119.99
A monograph on artificial neural networks which use Hebbian learning, covering a range of real experiments and which displays how it's approaches can be applied to analyse real problems. It brings together a range of concepts into a coherent whole. more...
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Handbook of Neural Engineeringby Metin Akay
Wiley 2007; US$ 207.00
An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing... more...
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FPGA Implementations of Neural Networksby Amos R. Omondi; Jagath C. Rajapakse
Springer 2006; US$ 139.99
Neural networks are employed in a large variety of practical contexts. However, the majority of such implementations have been in software. With the appearance of large and dense FPGA circuits, it has become possible to envisage putting large-scale neural networks in hardware. This title is intended for students or researchers of this field. more...
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Methods and Procedures for the Verification and Validation of Artificial Neural Networksby Brian J. Taylor
Springer 2006; US$ 119.99
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. This volume introduces some of the methods and techniques used for the verification and validation of neural networks and adaptive systems. more...
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Kalman Filtering and Neural Networksby Simon Haykin
Wiley 2004; US$ 153.00
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...
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Static and Dynamic Neural Networksby Madan M. Gupta; Liang Jin; Noriyasu Homma
Wiley 2004; US$ 209.00
Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. *An Instructor Support FTP site is available from the Wiley editorial department. more...
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Oscillations in Neural Systemsby Daniel S. Levine; Vincent R. Brown; Timothy Shirey
Taylor and Francis 1999; US$ 120.00
This book is the fourth in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics (MIND), an interdisciplinary organization of Dallas-Fort Worth area neural network professionals in both academia and industry. This topic was chosen as the focus for this special issue because of the increasing interest by neuroscientists... more...
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Kohonen Mapsby E. Oja; S. Kaski
Elsevier Science 1999; US$ 180.00
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...
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