Neural Networks
Self-Organizing Maps
Recurrent Neural Networks as Local Models for Time Series Prediction
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
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Identification tasks are experimented on multi-layered self-organizing maps with feedback, using strings of category symbols of English sentences. Training is carried out in a setting that approximates language acquisition by human infants as closely as possible. Novel strings that are not used in training are tested whether they can be identified as grammatical or not. Test strings can be longer with no finite bounds than the trained strings, with recursions within themselves, just as natural language syntax allows.