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- 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...
- 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...
- 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...
- Springer 2006; US$ 199.00
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...
- Wiley 2007; US$ 214.00
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...
- Springer 2007; US$ 189.00
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...
- Taylor and Francis 2014; US$ 71.95
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...
- Wiley 2004; US$ 158.00
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...
- 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...
- Elsevier Science 1993; US$ 72.95
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless,... more...