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Knowledge Extraction with Neural Networks: Significant Patterns and their Representation in Back-Propagation Networks - Softcover
Inhaltsangabe
Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems – artificial neural networks, fuzzy logic, cluster analysis, etc. – it is still complicated to interpret what they are actually doing – especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing.
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Reseña del editor
Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems - artificial neural networks, fuzzy logic, cluster analysis, etc. - it is still complicated to interpret what they are actually doing - especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing.
Biografía del autor
Iveta Mrázová, Ph.D.: associate professor of Computer Science at Charles University in Prague. Graduated from F. Schiller University in Jena, Germany and received her Ph.D. from the Institute of Computer Science of the Czech Academy of Sciences in Prague. Was a Fulbright fellow at Missouri University of Science and Technology in Rolla, USA.
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Knowledge Extraction with Neural Networks
Verlag:
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3844329412
ISBN 13: 9783844329414
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems artificial neural networks, fuzzy logic, cluster analysis, etc. it is still complicated to interpret what they are actually doing especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing. 176 pp. Englisch. Bestandsnummer des Verkäufers 9783844329414
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Knowledge Extraction with Neural Networks
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844329412
ISBN 13: 9783844329414
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Knowledge Extraction with Neural Networks
Verlag:
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3844329412
ISBN 13: 9783844329414
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems ¿ artificial neural networks, fuzzy logic, cluster analysis, etc. ¿ it is still complicated to interpret what they are actually doing ¿ especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing.Books on Demand GmbH, Überseering 33, 22297 Hamburg 176 pp. Englisch. Bestandsnummer des Verkäufers 9783844329414
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Knowledge Extraction with Neural Networks : Significant Patterns and their Representation in Back-Propagation Networks
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844329412
ISBN 13: 9783844329414
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent turbulences of global economy impose strong requirements on efficiency, flexibility, and reliability of new products and services. Unfortunately, for most techniques applicable to the design of complex adaptive systems artificial neural networks, fuzzy logic, cluster analysis, etc. it is still complicated to interpret what they are actually doing especially when processing large sets of high-dimensional data. Yet understanding and correct interpretation of the knowledge extracted by the applied model represent decisive issues for the ability to detect significant, e.g. novel input patterns, to identify their characteristic features and to assess their future development. This book provides new means to handle these problems with artificial neural networks of the Back-Propagation type. Two case studies involving image classification and analysis of economical data provided by the World Bank should help shed some light on this new and exciting area, and could be useful to professionals in the field of data mining, image processing and adaptive systems, or anyone else who may be considering applying neural networks for knowledge extraction e.g. in marketing. Bestandsnummer des Verkäufers 9783844329414
Anzahl: 1 verfügbar
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Knowledge Extraction with Neural Networks: Significant Patterns and their Representation in Back-Propagation Networks
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844329412
ISBN 13: 9783844329414
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