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- Springer Berlin Heidelberg 2008; US$ 184.41
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 methodological... more...
- Wiley 2007; US$ 228.00 US$ 197.60
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 New York 2013; US$ 97.62
This monograph examines a wide range of neural networks models with discontinuities, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. more...
- Springer London 2007; US$ 151.87
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...
- Wiley 2004; US$ 230.00 US$ 199.33
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...
- 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...
- Wiley 2004; US$ 168.00 US$ 145.60
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 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.... more...
- Taylor and Francis 1999; US$ 54.95
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...
- World Scientific Publishing Company 2009; US$ 78.00 US$ 70.98
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...