Unsupervised Multimodal Neural Networks - Nyamapfene, Abel
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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…mehr

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Produktbeschreibung
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 wellas to researchers in neural networks.
Autorenporträt
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.