Neural Networks in Multidimensional Domains: Fundamentals and New Trends in Modelling and Control
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...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
1998
|
| Schriftenreihe: | Lecture Notes in Control and Information Sciences
234 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIV, 169 p. 7 illus) |
| ISBN: | 9781846285271 |
| DOI: | 10.1007/BFb0047683 |
Internformat
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| 520 | |a 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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| discipline | Informatik Mathematik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/BFb0047683 |
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| isbn | 9781846285271 |
| language | English |
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| spelling | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control edited by Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia London Springer London 1998 1 Online-Ressource (XIV, 169 p. 7 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Control and Information Sciences 234 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 Engineering Control Control engineering Mehrschichten-Perzeptron (DE-588)4354626-2 gnd rswk-swf Mehrschichten-Perzeptron (DE-588)4354626-2 s 1\p DE-604 Arena, Paolo edt Fortuna, Luigi edt Muscato, Giovanni edt Xibilia, Maria Gabriella edt Erscheint auch als Druck-Ausgabe 9781852330064 https://doi.org/10.1007/BFb0047683 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control Engineering Control Control engineering Mehrschichten-Perzeptron (DE-588)4354626-2 gnd |
| subject_GND | (DE-588)4354626-2 |
| title | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control |
| title_auth | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control |
| title_exact_search | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control |
| title_full | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control edited by Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia |
| title_fullStr | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control edited by Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia |
| title_full_unstemmed | Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control edited by Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia |
| title_short | Neural Networks in Multidimensional Domains |
| title_sort | neural networks in multidimensional domains fundamentals and new trends in modelling and control |
| title_sub | Fundamentals and New Trends in Modelling and Control |
| topic | Engineering Control Control engineering Mehrschichten-Perzeptron (DE-588)4354626-2 gnd |
| topic_facet | Engineering Control Control engineering Mehrschichten-Perzeptron |
| url | https://doi.org/10.1007/BFb0047683 |
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