Parallel Implementations Of Backpropagation Neural Networks On Transputers A Study Of Training Set Parallelism
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Parallel Implementations Of Backpropagation Neural Networks On Transputers A Study Of Training Set Parallelism
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Author : P Saratchandran
language : en
Publisher: World Scientific
Release Date : 1996-07-04
Parallel Implementations Of Backpropagation Neural Networks On Transputers A Study Of Training Set Parallelism written by P Saratchandran and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-04 with Computers categories.
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.
Information Technologies And Mathematical Modelling
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Author : Alexander Dudin
language : en
Publisher: Springer
Release Date : 2014-11-04
Information Technologies And Mathematical Modelling written by Alexander Dudin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-04 with Computers categories.
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.
Growth Hormone And The Heart
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Author : Andrea Giustina
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-11-30
Growth Hormone And The Heart written by Andrea Giustina and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-30 with Medical categories.
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.
Geocomputational Modelling
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Author : Manfred M. Fischer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Geocomputational Modelling written by Manfred M. Fischer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.
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.
Radial Basis Function Neural Networks With Sequential Learning
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Author : N. Sundararajan
language : en
Publisher: World Scientific
Release Date : 1999
Radial Basis Function Neural Networks With Sequential Learning written by N. Sundararajan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Science categories.
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.
Business Applications Of Neural Networks
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Author : Paulo J. G. Lisboa
language : en
Publisher: World Scientific
Release Date : 2000
Business Applications Of Neural Networks written by Paulo J. G. Lisboa and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
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.
Ram Based Neural Networks
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Author : James Austin
language : en
Publisher: World Scientific
Release Date : 1998-02-10
Ram Based Neural Networks written by James Austin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-02-10 with Computers categories.
RAM-based networks are a class of methods for building pattern recognition systems. Unlike other neural network methods, they train very rapidly and can be implemented in simple hardware. This important book presents an overview of the subject and the latest work by a number of researchers in the field of RAM-based networks.
Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4
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Author : Peter Edwards
language : en
Publisher: World Scientific
Release Date : 1996-08-23
Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4 written by Peter Edwards and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-23 with Computers categories.
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.
Neural Networks Best Practice In Europe Proceedings Of The Stichting Neurale Netwerken Conference 1997 Progre
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Author : Bert Kappen
language : en
Publisher: World Scientific
Release Date : 1998-01-15
Neural Networks Best Practice In Europe Proceedings Of The Stichting Neurale Netwerken Conference 1997 Progre written by Bert Kappen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-15 with categories.
The area of automorphic representations is a natural continuation of studies in number theory and modular forms. A guiding principle is a reciprocity law relating the infinite dimensional automorphic representations with finite dimensional Galois representations. Simple relations on the Galois side reflect deep relations on the automorphic side, called “liftings”. This book concentrates on two initial examples: the symmetric square lifting from SL(2) to PGL(3), reflecting the 3-dimensional representation of PGL(2) in SL(3); and basechange from the unitary group U(3, E/F) to GL(3, E), [E : F] = 2.The book develops the technique of comparison of twisted and stabilized trace formulae and considers the “Fundamental Lemma” on orbital integrals of spherical functions. Comparison of trace formulae is simplified using “regular” functions and the “lifting” is stated and proved by means of character relations.This permits an intrinsic definition of partition of the automorphic representations of SL(2) into packets, and a definition of packets for U(3), a proof of multiplicity one theorem and rigidity theorem for SL(2) and for U(3), a determination of the self-contragredient representations of PGL(3) and those on GL(3, E) fixed by transpose-inverse-bar. In particular, the multiplicity one theorem is new and recent.There are applications to construction of Galois representations by explicit decomposition of the cohomology of Shimura varieties of U(3) using Deligne's (proven) conjecture on the fixed point formula.
Connectionist Models Of Cognition And Perception Proceedings Of The Seventh Neural Computation And Psychology Workshop
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Author : John A Bullinaria
language : en
Publisher: World Scientific
Release Date : 2002-05-30
Connectionist Models Of Cognition And Perception Proceedings Of The Seventh Neural Computation And Psychology Workshop written by John A Bullinaria and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05-30 with Psychology categories.
Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology.The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena.