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 language | English |
|---|---|
| Pages | 335-338 |
| Number of pages | 4 |
| Publication status | Published - Dec 1 2001 |
| Externally published | Yes |
| Event | 40th SICE Annual Conference - Nagoya, Japan Duration: Jul 25 2001 → Jul 27 2001 |
Other
| Other | 40th SICE Annual Conference |
|---|---|
| Country/Territory | Japan |
| City | Nagoya |
| Period | 7/25/01 → 7/27/01 |
Keywords
- Artificial neural networks
- Man-machine interaction
- Modular system design
- Natural language processing
- Neuro-fuzzy controllers
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering