Neural Networks
Author | : Arun V. Holden |
Publisher | : Manchester University Press |
Total Pages | : 264 |
Release | : 1990 |
Genre | : Brain |
ISBN | : 9780719032790 |
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Author | : Arun V. Holden |
Publisher | : Manchester University Press |
Total Pages | : 264 |
Release | : 1990 |
Genre | : Brain |
ISBN | : 9780719032790 |
Author | : Alexander I. Galushkin |
Publisher | : Springer Science & Business Media |
Total Pages | : 396 |
Release | : 2007-10-29 |
Genre | : Technology & Engineering |
ISBN | : 3540481257 |
This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
Author | : Manfred Glesner |
Publisher | : |
Total Pages | : 314 |
Release | : 1994 |
Genre | : Computers |
ISBN | : |
Author | : Raul Rojas |
Publisher | : Springer Science & Business Media |
Total Pages | : 532 |
Release | : 1996-07-12 |
Genre | : Computers |
ISBN | : 9783540605058 |
Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
Author | : Amos R. Omondi |
Publisher | : Springer Science & Business Media |
Total Pages | : 365 |
Release | : 2006-10-04 |
Genre | : Technology & Engineering |
ISBN | : 0387284877 |
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 aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
Author | : Gilbert Kalb |
Publisher | : IOS Press |
Total Pages | : 220 |
Release | : 1992 |
Genre | : Computers |
ISBN | : 9789051990973 |
A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.
Author | : Daniel J Amit |
Publisher | : World Scientific |
Total Pages | : 310 |
Release | : 1995-10-18 |
Genre | : |
ISBN | : 9814548405 |
The papers appearing in this proceedings volume cover a broad range of subjects, owing to the highly cross-disciplinary character of the workshop, and include: experiments and models concerning the dynamics of the neural activity in the cortex (DMS experiments, attractor dynamics in the cortex, spontaneous activity…); hippocampus, space and memory; theoretical advances in neural network modeling; information processing in neural networks; applications of neural networks to experimental physics, particularly to high energy physics; digital and analog hardware implementations of neural networks; etc.
Author | : José Mira |
Publisher | : Springer Science & Business Media |
Total Pages | : 772 |
Release | : 1993-05-27 |
Genre | : Computers |
ISBN | : 9783540567981 |
Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).
Author | : Paul Werbos |
Publisher | : Routledge |
Total Pages | : 860 |
Release | : 2021-09-09 |
Genre | : Psychology |
ISBN | : 1317713427 |
Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Author | : Russell C. Eberhart |
Publisher | : Academic Press |
Total Pages | : 431 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483297004 |
This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features: source code listings in C**actual case studies in a wide range of applications, including radar signal detection, stock market prediction, musical composition, ship pattern recognition, and biopotential waveform classification**CASE tools for neural networks and hybrid expert system/neural networks**practical hints and suggestions on when and how to use neural network tools to solve real-world problems.