Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/785
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dc.contributor.authorPulasinghe, K-
dc.contributor.authorWatanabe, K-
dc.contributor.authorKiguchi, K-
dc.contributor.authorIzumi, K-
dc.date.accessioned2022-01-26T07:08:48Z-
dc.date.available2022-01-26T07:08:48Z-
dc.date.issued2003-03-
dc.identifier.urihttp://localhost:80/handle/123456789/785-
dc.description.abstractIn this article, a fuzzy neural network (FNN)- based approach is presented to interpret imprecise natural language (NL) commands for controlling a machine. This system, (1) interprets fuzzy linguistic information in NL commands for machines, (2) introduces a methodology to implement the contextual meaning of NL commands, and (3) recognizes machine-sensitive words from the running utterances which consist of both in-vocabulary and out-ofvocabulary words. The system achieves these capabilities through a FNN, which is used to interpret fuzzy linguistic information, a hidden Markov model-based key-word spotting system, which is used to identify machine-sensitive words among unrestricted user utterances, and a possible framework to insert the contextual meaning of words into the knowledge base employed in the fuzzy reasoning process. The system is a complete system integration which converts imprecise NL command inputs into their corresponding output signals in order to control a machine. The performance of the system specifications is examined by navigating a mobile robot in real time by unconditional speech utterances.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlagen_US
dc.relation.ispartofseriesArtificial life and robotics;Vol 7 Issue 1 Pages 40-47-
dc.subjectFuzzy neural networksen_US
dc.subjectNatural language commandsen_US
dc.subjectKey-word spottingen_US
dc.subjectContextual meaning of wordsen_US
dc.titleVoice-controlled modular fuzzy neural controller with enhanced user autonomyen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10015-003-0235-yen_US
Appears in Collections:Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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