[PDF.24hx] Unsupervised Multimodal Neural Networks: A Neural Computation Approach to Modelling Child Language Acqusition

Unsupervised Multimodal Neural Networks: A Neural Computation Approach to Modelling Child Language Acqusition

[PDF.wq70] Unsupervised Multimodal Neural Networks: A Neural Computation Approach to Modelling Child Language Acqusition

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 |  2009-12-03 | Original language:English |  8.66 x.40 x5.91l, | File type: PDF | 176 pages

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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 langua...

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