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Neural Networks in Multidimensional Domains: Fundamentals and New Trends in Modelling and Control: 234 (Lecture Notes in Control and Information Sciences) - Tapa blanda
Sinopsis
In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms are discussed in a multidimensional context. The work includes the theoretical basis to address the properties of such structures and the advantages introduced in system modelling, function approximation and control. Some applications, referring to attractive themes in system engineering and a MATLAB software tool, are also reported. The appropriate background for this text is a knowledge of neural networks fundamentals. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.
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In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms are discussed in a multidimensional context. The work includes the theoretical basis to address the properties of such structures and the advantages introduced in system modelling, function approximation and control. Some applications, referring to attractive themes in system engineering and a MATLAB software tool, are also reported. The appropriate background for this text is a knowledge of neural networks fundamentals. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.
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- EditorialSpringer
- Año de publicación1998
- ISBN 10 1852330066
- ISBN 13 9781852330064
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas184
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Neural Networks in Multidimensional Domains : Fundamentals and New Trends in Modelling and Control
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Springer London, 1998
ISBN 10: 1852330066
ISBN 13: 9781852330064
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Librería: Buchpark, Trebbin, Alemania
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Neural Networks in Multidimensional Domains: Fundamentals and New Trends in Modelling and Control (Lecture Notes in Control and Information Sciences, 234)
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Neural Networks in Multidimensional Domains
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first argument of its kind to be published Has multidisciplinary appeal for students in related areasThe content, layout and price are ideal for graduates and studentsIn this monograph, new structures of neural networks in multidimensional d. Nº de ref. del artículo: 4289302
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Neural Networks in Multidimensional Domains : Fundamentals and New Trends in Modelling and Control
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms are discussed in a multidimensional context. The work includes the theoretical basis to address the properties of such structures and the advantages introduced in system modelling, function approximation and control. Some applications, referring to attractive themes in system engineering and a MATLAB software tool, are also reported. The appropriate background for this text is a knowledge of neural networks fundamentals. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines. Nº de ref. del artículo: 9781852330064
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Neural Networks in Multidimensional Domains: Fundamentals and New Trends in Modelling and Control
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Springer London Ltd, 1998
ISBN 10: 1852330066
ISBN 13: 9781852330064
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Neural Networks in Multidimensional Domains
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Springer London, Springer London Apr 1998, 1998
ISBN 10: 1852330066
ISBN 13: 9781852330064
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms are discussed in a multidimensional context. The work includes the theoretical basis to address the properties of such structures and the advantages introduced in system modelling, function approximation and control. Some applications, referring to attractive themes in system engineering and a MATLAB software tool, are also reported. The appropriate background for this text is a knowledge of neural networks fundamentals. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch. Nº de ref. del artículo: 9781852330064
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Neural Networks in Multidimensional Domains
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Neural Networks in Multidimensional Domains
Publicado por
Springer London Apr 1998, 1998
ISBN 10: 1852330066
ISBN 13: 9781852330064
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Calificación del vendedor: 5 de 5 estrellas
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Cantidad disponible: 2 disponibles