Parallel Implementations Of Backpropagation Neural Networks On Transputers: A Study Of Training Set Parallelism PDF Download
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Author: P Saratchandran
Publisher: World Scientific
ISBN: 9814498998
Category : Computers
Languages : en
Pages : 222
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Book Description
This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
Author: P Saratchandran
Publisher: World Scientific
ISBN: 9814498998
Category : Computers
Languages : en
Pages : 222
Get Book Here
Book Description
This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
Author: P. Saratchandran
Publisher: World Scientific
ISBN: 9789810226541
Category : Computers
Languages : en
Pages : 228
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Book Description
This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several well known benchmark problems. Use of genetic algorithms for optimizing the performance of the parallel implementations is described. Guidelines for efficient parallel implementations are highlighted.
Author: Alexander Dudin
Publisher: Springer
ISBN: 3319136712
Category : Computers
Languages : en
Pages : 462
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Book Description
This book constitutes the refereed proceedings of the 13th International Scientific Conference on Information Technologies and Mathematical Modeling, named after A.F. Terpugov, ITMM 2014, Anzhero-Sudzhensk, Russia, held in Anzhero-Sudzhensk, Russia, in November 2014. The 50 full papers included in this volume were carefully reviewed and selected from 254 submissions. The papers focus on probabilistic methods and models, queueing theory, telecommunication systems, and software engineering.
Author: Manfred M. Fischer
Publisher: Springer Science & Business Media
ISBN: 3662046377
Category : Science
Languages : en
Pages : 286
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Book Description
Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field. It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails. The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science.
Author: Andrea Giustina
Publisher: Springer Science & Business Media
ISBN: 9780792372127
Category : Medical
Languages : en
Pages : 538
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Book Description
Growth Hormone and the Heart endeavors to bring together knowledge that has been accumulated in the area of GH and the heart, from basic to clinical studies, by research groups working on this topic throughout the world. Lessons from different experimental models and from several human diseases (acromegaly, adult GH deficiency, heart failure) suggest to endocrinologists and cardiologists that GH may not only have a role in the physiology and pathophysiology of heart function, but that GH itself may have a place in the treatment of primary heart diseases (such as dilated cardiomyopathy) or of cardiac complications of hypopituitarism. Growth Hormone and the Heart will be a useful update of the research produced in the field of cardiovascular endocrinology. The Editors also hope that this book will serve as the primary step in the recognition of the wide physiological and clinical significance of GH and heart interactions.
Author: N. Sundararajan
Publisher: World Scientific
ISBN: 9789810237714
Category : Science
Languages : en
Pages : 236
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Book Description
A review of radial basis founction (RBF) neural networks. A novel sequential learning algorithm for minimal resource allocation neural networks (MRAN). MRAN for function approximation & pattern classification problems; MRAN for nonlinear dynamic systems; MRAN for communication channel equalization; Concluding remarks; A outline source code for MRAN in MATLAB; Bibliography; Index.
Author: Paulo J. G. Lisboa
Publisher: World Scientific
ISBN: 9810240899
Category : Business & Economics
Languages : en
Pages : 222
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Book Description
Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise. This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.
Author: James Austin
Publisher: World Scientific
ISBN: 9789810232535
Category : Computers
Languages : en
Pages : 256
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Book Description
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.
Author: Peter Edwards
Publisher: World Scientific
ISBN: 9814498696
Category : Computers
Languages : en
Pages : 191
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Book Description
Hardware inaccuracy and imprecision are important considerations when implementing neural algorithms. This book presents a study of synaptic weight noise as a typical fault model for analogue VLSI realisations of MLP neural networks and examines the implications for learning and network performance. The aim of the book is to present a study of how including an imprecision model into a learning scheme as a“fault tolerance hint” can aid understanding of accuracy and precision requirements for a particular implementation. In addition the study shows how such a scheme can give rise to significant performance enhancement.
Author: Bert Kappen
Publisher: World Scientific
ISBN: 9814545376
Category :
Languages : en
Pages : 226
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Book Description
After the explosion of research on neural networks in the eighties, the nineties have seen a boom in industrial applications of neural networks. In contrast to the large output of publications in international neural network journals, which reflects the increase in neural network research, the large number of successful applications are less accessible. To make a survey of successful applications in industry in Europe, a project called SIENA was initiated with support from the European Community. The aim of SIENA was to assess the business impact of neural networks. Data were collected on both the supplier side and the end-user side of the market. In addition, case studies of successful 'money-making' applications using neural networks were gathered. This book contains detailed descriptions of some of the applications.
