Mapping Artificial Neural Networks on Massively Parallel Architectures PDF Download

Author: Qutaibah M. Malluhi
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 256

View

Book Description

Author: Guang Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 19

View

Book Description

Author: N. Sundararajan
Publisher: Wiley-IEEE Computer Society Press
ISBN:
Category : Computers
Languages : en
Pages : 424

View

Book Description
An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.

Author: E R Caianiello
Publisher: World Scientific
ISBN: 9814555789
Category :
Languages : en
Pages : 396

View

Book Description
Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.

Author: Sankar K. Pal
Publisher: World Scientific
ISBN: 981277808X
Category : Computers
Languages : en
Pages : 421

View

Book Description
Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Author: K. Wojtek Przytula
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 346

View

Book Description
Explores issues related to implementing artificial neural networks on programmable, massively parallel computers, and special purpose digital, programmable VLSI architectures. The nine contributions cover mapping methodologies and implementations, digital neurocomputers, and architectural building blocks. Annotation copyright by Book News, Inc., Portland, OR

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

View

Book Description
Substantial progress has been made in several research area. For example, a new class of neural networks has been developed which are defined by high-dimensional nonlinear dynamics systems that operate at multiple time scales. They are designed to carry out fast, stable autonomous learning of recognition codes and multidimensional maps in response to arbitrary sequences of input patterns. The new neural networks architecture, called ARTMAP, autonomously learns to classify many, arbitrarily ordered vectors into recognition categories based on predictive success. In other research, these investigators developed a new model of temporal prediction that is based upon analysis of how animals and humans learn to time their actions to achieve desired goals. Research was also conducted on the neural dynamics of speech filtering and segmentations, measurement theory, and temporal predictions reinforcement learning, and autonomous credit assignment.

Author: Paul Werbos
Publisher: Routledge
ISBN: 1317713427
Category : Psychology
Languages : en
Pages : 860

View

Book Description
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: Lyle Amos Reibling
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 424

View

Book Description

Author: Richard Kendall Miller
Publisher:
ISBN:
Category : Neural circuitry
Languages : en
Pages : 326

View

Book Description
Applications for neuro-computers include image processing, vision, speech recognition, fuzzy knowledge processing, data/sensor fusion, and coordination of robot motion. This volume explains the workings of neural networks and their potential applications. The products and services of 20 companies and activities of some 200 research groups in the field are assessed. The bibliography contains more than 400 citations. Annotation copyrighted by Book News, Inc., Portland, OR