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ISBN 13 :
Total Pages : 880 pages
Book Rating : 4.26/5 ( download)
Download or read book 1993 IEEE International Conference on Neural Networks, San Francisco, California, March 28-April 1, 1993 written by and published by . This book was released on 1993 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.18/5 ( download)
Download or read book 1993 IEEE International Conference on Neural Networks, San Francisco, California, March 28-April 1, 1993 written by and published by . This book was released on 1993 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540567981
Total Pages : 772 pages
Book Rating : 4.84/5 ( download)
Download or read book New Trends in Neural Computation written by José Mira and published by Springer Science & Business Media. This book was released on 1993-05-27 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jose Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540660682
Total Pages : 942 pages
Book Rating : 4.82/5 ( download)
Download or read book Engineering Applications of Bio-Inspired Artificial Neural Networks written by Jose Mira and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.
Author : Harald Maurer
Publisher : BoD – Books on Demand
ISBN 13 : 3837021467
Total Pages : 98 pages
Book Rating : 4.62/5 ( download)
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.
Author : Matthew Kyan
Publisher : John Wiley & Sons
ISBN 13 : 1118875346
Total Pages : 331 pages
Book Rating : 4.46/5 ( download)
Download or read book Unsupervised Learning written by Matthew Kyan and published by John Wiley & Sons. This book was released on 2014-05-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation: a relatively simple task for humans, yet an arduous one for computers. Inspired by the relative success of existing popular research on self-organizing neural networks for data clustering and feature extraction, Unsupervised Learning: A Dynamic Approach presents information within the family of generative, self-organizing maps, such as the self-organizing tree map (SOTM) and the more advanced self-organizing hierarchical variance map (SOHVM). It covers a series of pertinent, real-world applications with regard to the processing of multimedia data—from its role in generic image processing techniques, such as the automated modeling and removal of impulse noise in digital images, to problems in digital asset management and its various roles in feature extraction, visual enhancement, segmentation, and analysis of microbiological image data. Self-organization concepts and applications discussed include: Distance metrics for unsupervised clustering Synaptic self-amplification and competition Image retrieval Impulse noise removal Microbiological image analysis Unsupervised Learning: A Dynamic Approach introduces a new family of unsupervised algorithms that have a basis in self-organization, making it an invaluable resource for researchers, engineers, and scientists who want to create systems that effectively model oppressive volumes of data with little or no user intervention.
Author : W. Sandham
Publisher : Springer Science & Business Media
ISBN 13 : 9401702713
Total Pages : 336 pages
Book Rating : 4.13/5 ( download)
Download or read book Geophysical Applications of Artificial Neural Networks and Fuzzy Logic written by W. Sandham and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking; lithology prediction and well-log analysis; prospect appraisal; hydrocarbon prediction; inversion; reservoir characterisation; quality assessment; tomography). 2. Earthquake Seismology and Subterranean Nuclear Explosions. 3. Mineral Exploration. 4. Electromagnetic I Potential Field Exploration. (a) Electromagnetic methods, (b) Potential field methods, (c) Ground penetrating radar, (d) Remote sensing, (e) inversion.
Author : Christoph von der Malsburg
Publisher : Springer Science & Business Media
ISBN 13 : 9783540615101
Total Pages : 956 pages
Book Rating : 4.05/5 ( download)
Download or read book Artificial Neural Networks - ICANN 96 written by Christoph von der Malsburg and published by Springer Science & Business Media. This book was released on 1996-07-10 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996. The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.
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ISBN 13 :
Total Pages : 2266 pages
Book Rating : 4.13/5 ( download)
Download or read book The Cumulative Book Index written by and published by . This book was released on 1995 with total page 2266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paul Werbos
Publisher : Routledge
ISBN 13 : 1317713427
Total Pages : 860 pages
Book Rating : 4.25/5 ( download)
Download or read book World Congress on Neural Networks written by Paul Werbos and published by Routledge. This book was released on 2021-09-09 with total page 860 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
