A novel modular neuro-fuzzy controller driven by natural language commands

Koliya Pulasinghe, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A method of interpreting imprecise natural language commands to machine understandable manner is presented in this paper. The proposed method tries to ease the process of man-machine interaction by combining the theoretical understanding of artificial neural networks and fuzzy logic. Both fields are very popular to mimic the human behavior in different research areas in artificial intelligence. The proposed system tries to understand the natural language command rather than mere recognition. The distinctive features of the artificial neural networks in pattern recognition and classification and the abilities of manipulating imprecise data by fuzzy systems are merged to recognize the machine sensitive words in the natural language command and then to be interpreted them to machine in machine identifiable manner. Modularity of the design tries to break up the complete task into manageable parts where the presence of individual part is vital to bridge the so-called man-machine gap.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages335-338
Number of pages4
Publication statusPublished - 2001
Externally publishedYes
Event40th SICE Annual Conference - Nagoya, Japan
Duration: Jul 25 2001Jul 27 2001

Other

Other40th SICE Annual Conference
CountryJapan
CityNagoya
Period7/25/017/27/01

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Keywords

  • Artificial neural networks
  • Man-machine interaction
  • Modular system design
  • Natural language processing
  • Neuro-fuzzy controllers

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Pulasinghe, K., Watanabe, K., Kiguchi, K., & Izumi, K. (2001). A novel modular neuro-fuzzy controller driven by natural language commands. In Proceedings of the SICE Annual Conference (pp. 335-338)