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Self-Organizing Maps

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642569277
Total Pages : 514 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Self-Organizing Maps by : Teuvo Kohonen

Download or read book Self-Organizing Maps written by Teuvo Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real world problems. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.

Artificial Neural Networks in Medicine and Biology

Author : H. Malmgren
Publisher : Springer Science & Business Media
ISBN 13 : 1447105133
Total Pages : 339 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Artificial Neural Networks in Medicine and Biology by : H. Malmgren

Download or read book Artificial Neural Networks in Medicine and Biology written by H. Malmgren and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.

Advances in Neural Information Processing Systems 7

Author : Gerald Tesauro
Publisher : MIT Press
ISBN 13 : 9780262201049
Total Pages : 1180 pages
Book Rating : 4.2/5 (1 download)

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Book Synopsis Advances in Neural Information Processing Systems 7 by : Gerald Tesauro

Download or read book Advances in Neural Information Processing Systems 7 written by Gerald Tesauro and published by MIT Press. This book was released on 1995 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications. Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.

Feed-Forward Neural Networks

Author : Jouke Annema
Publisher : Springer Science & Business Media
ISBN 13 : 1461523370
Total Pages : 248 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Feed-Forward Neural Networks by : Jouke Annema

Download or read book Feed-Forward Neural Networks written by Jouke Annema and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained. Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning are designed in their entirety. On-chip learning is necessary in circumstances where fixed weight configurations cannot be used. It is also useful for the elimination of most mis-matches and parameter tolerances that occur in hard-wired neural network chips. Fully analog neural networks have several advantages over other implementations: low chip area, low power consumption, and high speed operation. Feed-Forward Neural Networks is an excellent source of reference and may be used as a text for advanced courses.

Advances in Self-Organising Maps

Author : Nigel Allinson
Publisher : Springer Science & Business Media
ISBN 13 : 1447107152
Total Pages : 299 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Advances in Self-Organising Maps by : Nigel Allinson

Download or read book Advances in Self-Organising Maps written by Nigel Allinson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Government Failure

Author : Gordon Tullock
Publisher : Cato Institute
ISBN 13 : 1935308009
Total Pages : 211 pages
Book Rating : 4.9/5 (353 download)

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Book Synopsis Government Failure by : Gordon Tullock

Download or read book Government Failure written by Gordon Tullock and published by Cato Institute. This book was released on 2002-05-01 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: When market forces fail us, what are we to do? Who will step in to protect the public interest? The government, right? Wrong. The romantic view of bureaucrats coming to the rescue confuses the true relationship between economics and politics. Politicians often cite "market failure" as justification for meddling with the economy, but a group of leading scholars show the shortcomings of this view. In Government Failure, these scholars explain the school of study known as "public choice," which uses the tools of economics to understand and evaluate government activity. Gordon Tullock, one of the founders of public choice, explains how government "cures" often cause more harm than good. Tullock provides an engaging overview of public choice and discusses how interest groups seek favors from government at enormous costs to society. Displaying the steely realism that has marked public choice, Tullock shows the political world as it is, rather than as it should be. Gordon Brady scrutinizes American public policy, looking closely at international trade, efforts at regulating technology, and environmental policy. At every turn Brady points out the ways in which interest groups have manipulated the government to advance their own agendas. Arthur Seldon, a seminal scholar in public choice, provides a comparative perspective from Great Britain. He examines how government interventions in the British economy have led to inefficiency and warns about the political centralization promised by the European Community. Government Failure heralds a new approach to the study of politics and public policy. This book enlightens readers with the basic concepts of public choice in an unusually accessible way to show the folly of excessive faith in the state.

Self-Organizing Neural Networks

Author : Udo Seiffert
Publisher : Physica
ISBN 13 : 3790818100
Total Pages : 289 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Self-Organizing Neural Networks by : Udo Seiffert

Download or read book Self-Organizing Neural Networks written by Udo Seiffert and published by Physica. This book was released on 2013-11-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad equate. It is rather the universal applicability and easy handling of the SOM. Com pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up to-date treatment of the field of self-organizing neural networks, which will be ac cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup porting this book and contributing the first chapter.

Industrial Applications Of Neural Networks

Author : Francoise Fogelman Soulie
Publisher : World Scientific
ISBN 13 : 9814525375
Total Pages : 489 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Industrial Applications Of Neural Networks by : Francoise Fogelman Soulie

Download or read book Industrial Applications Of Neural Networks written by Francoise Fogelman Soulie and published by World Scientific. This book was released on 1998-01-15 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of real-world applications of neural networks, which were presented at the ICANN '95 conference of the European Neural Network Society. The contributions have been carefully selected by the Program Committee under three criteria: soundness of the technical approach, relevance for the application sector, and quality of the results obtained.The book covers all major areas of industrial and service activities: process engineering, control and monitoring, technical diagnosis and nondestructive testing, power systems, robotics, transportation, telecommunications, remote sensing, banking, finance and insurance, forecasting, document processing, and medicine. It thus represents one of the most comprehensive existing surveys of the applicability and use of neural networks in industry and services.

Normative Experience in Internet Politics

Author : Françoise Massit-Folléa
Publisher : Presses des MINES
ISBN 13 : 2911256573
Total Pages : 22 pages
Book Rating : 4.9/5 (112 download)

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Book Synopsis Normative Experience in Internet Politics by : Françoise Massit-Folléa

Download or read book Normative Experience in Internet Politics written by Françoise Massit-Folléa and published by Presses des MINES. This book was released on 2012 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ways in which the Internet is managed and controlled -often labeled as Internet Governance- are usually considered as standing on four main pillars: Technology, Market Laws, State Regulation and Uses. Nevertheless, its specific features, the consequences of the plurality of norms it involves and of the decision-making processes it entails are rarely addressed in a comprehensive analysis. This book explores the Internet’s functioning both as a practical-intellectual experience and a political challenge. By means of several case studies, it proposes a substantial and reflexive treatment of multileveled, formal or informal Internet Politics. The book’s overall endeavor is to outline an understanding of what is -or may be- a “digital common good”. The authors are members of a European academic team gathered by the Vox Internet research program’s meetings. They adopt a multi-disciplinary approach, embedding technological innovation in the field of social sciences (communication studies, sociology, law, political science and philosophy).

Hybrid Neural Systems

Author : Stefan Wermter
Publisher : Springer
ISBN 13 : 3540464174
Total Pages : 411 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Hybrid Neural Systems by : Stefan Wermter

Download or read book Hybrid Neural Systems written by Stefan Wermter and published by Springer. This book was released on 2006-12-30 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

Research and Development in Intelligent Systems XX

Author : Frans Coenen
Publisher : Springer Science & Business Media
ISBN 13 : 0857294121
Total Pages : 393 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Research and Development in Intelligent Systems XX by : Frans Coenen

Download or read book Research and Development in Intelligent Systems XX written by Frans Coenen and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frans Coenen University of Liverpool, UK This volume comprises the refereed technical papers presented at AI2003, the Twenty third SGAI International Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence (previously known as SGES). The papers in this volume present new and innovative developments in the field, divided into sections on Machine Learning, Knowledge Representation and Reasoning, Knowledge Acquisition, Constraint Satisfaction, Scheduling and Natural Language Processing. This year's prize for the best refereed technical paper was won by a paper entitled An Improved Hybrid Genetic Algorithm: New Results for the Quadratic Assignment Problem by A. Misevicius (Department of Practical Informatics, Kaunas University of Technology, Lithuania). SGAI gratefully acknowledges the long-term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which goes back to the 1980s. This is the twentieth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems XI. On behalf of the conference organising committee I should like to thank all those who contributed to the organisation of this year's technical programme, in particular the programme committee members, the referees and our administrator Fiona Hartree and Linsay Turbert.

Handbook Of Character Recognition And Document Image Analysis

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814500380
Total Pages : 851 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Handbook Of Character Recognition And Document Image Analysis by : Horst Bunke

Download or read book Handbook Of Character Recognition And Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1997-05-02 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.

DIE ARCHITEKTURTYPEN DES "SELF-ORGANIZING (FEATURE) MAP (SO(F)M)" NACH TEUVO KOHONEN

Author : Harald Maurer
Publisher : BoD – Books on Demand
ISBN 13 : 3837021467
Total Pages : 98 pages
Book Rating : 4.8/5 (37 download)

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Book Synopsis DIE ARCHITEKTURTYPEN DES "SELF-ORGANIZING (FEATURE) MAP (SO(F)M)" NACH TEUVO KOHONEN by : Harald Maurer

Download or read book DIE ARCHITEKTURTYPEN DES "SELF-ORGANIZING (FEATURE) MAP (SO(F)M)" NACH TEUVO KOHONEN written by Harald Maurer and published by BoD – Books on Demand. This book was released on 2009 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das Buch stellt eine leicht überarbeitete Fassung meiner Studienarbeit dar, die ich im Fachbereich Informatik bei Prof. Dr. M. Bogdan im Wintersemester 2003/04 und im Sommersemester 2004 geschrieben habe. Es gibt erstmals einen umfassenden Überblick über die wichtigsten Architekturtypen der "Selbstorganisierende (Merkmals-)Karte" (engl."Self-Organizing (Feature) Map (SO(F)M))" des finnischen Ingenieurs Teuvo Kohonen, auch "Kohonen-Karte" genannt, die eine der bedeutendsten Modelle im Rahmen der Theorie der künstlichen Neuronalen Netzwerke darstellt. Es werden dabei die relevantesten Passagen aus den wichtigsten Artikeln der jeweiligen Autoren zitiert, die die zentralen Konzepte der diversen Architekturmodelle wiedergeben und dann zusammengefaßt und kommentiert.

Self-Organising Maps

Author : Pragya Agarwal
Publisher : John Wiley & Sons
ISBN 13 : 9780470021682
Total Pages : 214 pages
Book Rating : 4.0/5 (216 download)

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Book Synopsis Self-Organising Maps by : Pragya Agarwal

Download or read book Self-Organising Maps written by Pragya Agarwal and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application-areas in the biophysical and socio-economic environments. Only book that takes SOM algorithm to the GIS and Geography research communities The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study

Learning, Networks and Statistics

Author : Giacomo Della Riccia
Publisher : Springer
ISBN 13 : 3709126681
Total Pages : 226 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Learning, Networks and Statistics by : Giacomo Della Riccia

Download or read book Learning, Networks and Statistics written by Giacomo Della Riccia and published by Springer. This book was released on 2014-05-04 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contents of these proceedings reflect the intention of the organizers of the workshop to bring together scientists and engineers having a strong interest in interdisciplinary work in the fields of computer science, mathematics and applied statistics. Results of this collaboration are illustrated in problems dealing with neural nets, statistics and networks, classification and data mining, and (machine) learning.

Neural Computation and Psychology

Author : Leslie S. Smith
Publisher : Springer Science & Business Media
ISBN 13 : 1447135792
Total Pages : 232 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Computation and Psychology by : Leslie S. Smith

Download or read book Neural Computation and Psychology written by Leslie S. Smith and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers that appear in this volume are refereed versions of presenta tions made at the third Neural Computation and Psychology Workshop, held at Stirling University, Scotland, from 31 August to 2 September 1994. The aim of this series of conferences has been to explore the interface between Neural Computing and Psychology: this has been a fruitful area for many researchers for a number of reasons. The development ofNeural Computation has supplied tools to researchers in Cognitive Neuroscience, allowing them to look at possible mechanisms for implementing theories which would otherwise remain 'black box' techniques. These theories may be high-level theories, concerned with interaction between a number of brain areas, or low-level, describing the way in which smaller local groups of neurons behave. Neural Computation techniques have allowed computer scientists to implement systems which are based on how real brains appear to function, providing effective pattern recognition systems. We can thus mount a two-pronged attack on perception. The papers here come from both the Cognitive Psychology viewpoint and from the Computer Science viewpoint: it is a mark of the growing maturity of the interface between the two subjects that they can under stand each other's papers, and the level of discussion at the workshop itself showed how important each camp considers the other to be. The papers here are divided into four sections, reflecting the primary areas of the material.

Optimization Techniques

Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080551351
Total Pages : 423 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Optimization Techniques by : Cornelius T. Leondes

Download or read book Optimization Techniques written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering. Provides in-depth treatment of theoretical contributions to optimal learning for neural network systems Offers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systems Includes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systems Presents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systems Treats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputs Covers optimization techniques and applications of neural network systems in constraint satisfaction