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Modelling Semantic Knowledge for a Word Completion Task Jianhua Li Master of Science Graduate Department of Computer Science University of Toronto 2006 To assist people with physical disabilities in text entry, we have studied the contribution of semantic knowledge in the word completion task. We have first constructed a semantic knowledge base (SKB) that(More)
This paper proposes an evolving fuzzy associative memory neural network model based on the fuzzy CMAC (FCMAC). FCMAC is an auto-associate memory feed forward neural network with attractive properties of fast learning and simple computation. Evolving techniques aim at building adaptive intelligent systems that evolve both their structure and parameters(More)
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