The research described in this monograph is a significant milestone in computational modelling of cognitive processing using neural networks. The research integrates four key strands in neural network research, namely unsupervised learning, multimodality, temporal processing and neural multinets to come up with a computational framework that can be used effectively as a tool for investigating cognitive processes such as child language acquisition and second language acquisition. In-situ Hebbian-linked self-organising maps and counterpropagation networks are used to investigate static multimodal processing,whilst Kohonen?s Hypermap is extended to investigating temporal multimodal processing. These architectures are then integrated using multinet techniques to model child language acquisition from the one-word utterance stage to the two-word utterance stage. This monograph is very relevant to researchers working in cognitive processing,especially child language acquisition, as well as to researchers in neural networks.
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Abel Nyamapfene is a lecturer in Computing and Electronics at the University of Exeter. He is a Chartered IT Professional and a Fellow of the Higher Education Academy. His research area is in child language acquisition. He holds a PhD from the University of Surrey and an MSc and BSc Eng (Hon) from the University of Zimbabwe.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The research described in this monograph is a significant milestone in computational modelling of cognitive processing using neural networks. The research integrates four key strands in neural network research, namely unsupervised learning, multimodality, temporal processing and neural multinets to come up with a computational framework that can be used effectively as a tool for investigating cognitive processes such as child language acquisition and second language acquisition. In-situ Hebbian-linked self-organising maps and counterpropagation networks are used to investigate static multimodal processing,whilst Kohonen s Hypermap is extended to investigating temporal multimodal processing. These architectures are then integrated using multinet techniques to model child language acquisition from the one-word utterance stage to the two-word utterance stage. This monograph is very relevant to researchers working in cognitive processing,especially child language acquisition, as well as to researchers in neural networks. 176 pp. Englisch. Bestandsnummer des Verkäufers 9783838326788
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nyamapfene AbelAbel Nyamapfene is a lecturer in Computing and Electronics at the University of Exeter. He is a Chartered IT Professional and a Fellow of the Higher Education Academy. His research area is in child language acquisitio. Bestandsnummer des Verkäufers 5413309
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Taschenbuch. Zustand: Neu. Unsupervised Multimodal Neural Networks | A Neural Computation Approach to Modelling Child Language Acqusition | Abel Nyamapfene | Taschenbuch | 176 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838326788 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101416873
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The research described in this monograph is a significant milestone in computational modelling of cognitive processing using neural networks. The research integrates four key strands in neural network research, namely unsupervised learning, multimodality, temporal processing and neural multinets to come up with a computational framework that can be used effectively as a tool for investigating cognitive processes such as child language acquisition and second language acquisition. In-situ Hebbian-linked self-organising maps and counterpropagation networks are used to investigate static multimodal processing,whilst Kohonen''s Hypermap is extended to investigating temporal multimodal processing. These architectures are then integrated using multinet techniques to model child language acquisition from the one-word utterance stage to the two-word utterance stage. This monograph is very relevant to researchers working in cognitive processing,especially child language acquisition, as well as to researchers in neural networks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. Bestandsnummer des Verkäufers 9783838326788
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The research described in this monograph is a significant milestone in computational modelling of cognitive processing using neural networks. The research integrates four key strands in neural network research, namely unsupervised learning, multimodality, temporal processing and neural multinets to come up with a computational framework that can be used effectively as a tool for investigating cognitive processes such as child language acquisition and second language acquisition. In-situ Hebbian-linked self-organising maps and counterpropagation networks are used to investigate static multimodal processing,whilst Kohonen s Hypermap is extended to investigating temporal multimodal processing. These architectures are then integrated using multinet techniques to model child language acquisition from the one-word utterance stage to the two-word utterance stage. This monograph is very relevant to researchers working in cognitive processing,especially child language acquisition, as well as to researchers in neural networks. Bestandsnummer des Verkäufers 9783838326788
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Paperback. Zustand: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock. Bestandsnummer des Verkäufers __3838326784
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