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...
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| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture notes in control and information sciences
234 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Neural networks in multidimensional domains, fundamentals and new trends in modelling and control, Paolo Arena ... [et al.], London, Springer, 1998, xiv, 165 p., Lecture notes in control and information sciences, 1-85233-006-6 • Neural Networks in Multidimensional Domains, Texte imprimé, 9781447139706 |
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| 100 | 1 | |a Arena, Paolo. | |
| 245 | 1 | 0 | |a Neural networks in multidimensional domains : |b fundamentals and new trends in modelling and control |c Paolo Arena, Luigi Fortuna, Giovanni Muscato and Maria G. Xibilia. |
| 260 | |a Berlin [etc.] : |b Springer-Verlag : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in control and information sciences |v 234 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a to MLP neural networks -- Neural networks in complex algebra -- Vectorial neural networks -- Quaternion algebra -- MLP in quaternion algebra -- Chaotic time series prediction with CMLP and HMLP -- Applications of quaternions in robotics. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 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. | ||
| 650 | |a Réseaux neuronaux (informatique) | ||
| 650 | |a Commande automatique | ||
| 650 | |a Ingénierie | ||
| 700 | 1 | |a Fortuna, Luigi, |d 1953- |4 aut | |
| 700 | 1 | |a Muscato, Giovanni, |d 1965- |4 aut | |
| 700 | 1 | |a Xibilia, Maria Gabriella. |4 aut | |
| 776 | 0 | |0 045437149 |t Neural networks in multidimensional domains |o fundamentals and new trends in modelling and control |f Paolo Arena ... [et al.] |c London |n Springer |d 1998 |p xiv, 165 p. |s Lecture notes in control and information sciences |z 1-85233-006-6 | |
| 776 | 0 | |t Neural Networks in Multidimensional Domains |b Texte imprimé |z 9781447139706 | |
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