Neural Network Based Grammatical Learning and its Application for Structure Identification
نویسندگان
چکیده
Structure identification has been used widely in many contexts. Grammatical Learning methods are used to find structure information through sequences. Due to negative results, alternative representations have to be used for Grammatical Learning. One such representation is recurrent neural network. Recurrent neural networks are proposed as extended automata. In this chapter, we first summarize related works in grammatical inference and recurrent neural networks, and then propose a structural identification method to construct k order Markov Chains by using recurrent neural networks.
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