Theoretical Investigation Of Ram Based Neural Networks
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An Investigation Into RAM Based Neural Networks
Author | : Richard Bowmaker |
Publisher | : |
Total Pages | : 176 |
Release | : 1993 |
Genre | : Neural networks (Computer science) |
ISBN | : |
RAM-based Neural Networks
Author | : James Austin |
Publisher | : World Scientific |
Total Pages | : 256 |
Release | : 1998 |
Genre | : Computers |
ISBN | : 9789810232535 |
RAM-based networks are a class of methods for building pattern recognition systems. Unlike other neural network methods, they learn very quickly and as a result are applicable to a wide variety of problems. This important book presents the latest work by the majority of researchers in the field of RAM-based networks.
Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments
Author | : Taniar, David |
Publisher | : IGI Global |
Total Pages | : 448 |
Release | : 2009-12-31 |
Genre | : Computers |
ISBN | : 1605667188 |
"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.
Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters
Author | : Nitta, Tohru |
Publisher | : IGI Global |
Total Pages | : 504 |
Release | : 2009-02-28 |
Genre | : Computers |
ISBN | : 1605662151 |
"This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.
An Introduction to Neural Networks
Author | : Kevin Gurney |
Publisher | : CRC Press |
Total Pages | : 234 |
Release | : 2018-10-08 |
Genre | : Computers |
ISBN | : 1482286998 |
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; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.
Turing’s Connectionism
Author | : Christof Teuscher |
Publisher | : Springer Science & Business Media |
Total Pages | : 215 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1447101618 |
Christof Teuscher revives, analyzes, and simulates Turing's ideas, applying them to different types of problems, and building and training Turing's machines using evolutionary algorithms. In a little known paper entitled 'Intelligent Machinery' Turing investigated connectionist networks, but his work was dismissed as a 'schoolboy essay'and it was left unpublished until 1968, 14 years after his death. This is not a book about today's (classical) neural networks, but about the neuron network-like structures proposed by Turing. One of its novel features is that it actually goes beyond Turing's ideas by proposing new machines. The book also contains a Foreward by B. Jack Copeland and D. Proudfoot.