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Grammatical Inference using an Adaptive Recurrent Neural Network (1998)

Chen, Li-Hui ; Chua, Hock-Chuan ; Tan, Poy-Boon

Springer

Neural processing letters 8 (1998), S. 211-219

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ISSN: 1573-773X

Keywords: recurrent neural network ; grammatical inference ; finite-state automata ; regular grammar ; tomita grammars

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract In this study, we proposed an adaptive recurrent neural network that is capable of inferring a regular grammar, and at the same time of extracting the underlying grammatical rules emulated by a finite-state automata. Our proposed network adapts from an initial analog phase, which has good training behavior, to a discrete phase for automatic rule extraction. A modified objective function is proposed to accomplish the discretisation process as well as logic learning. Comparison on learning Tomita grammars shows that our network has a significant advantage over other approaches.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1009673616664

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