DocumentCode
527784
Title
Fuzzy knowledge representation based on an improving spiking neural P system
Author
Wang, Jun ; Peng, Hong
Author_Institution
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Volume
6
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
3012
Lastpage
3015
Abstract
This paper presents a new method to express fuzzy knowledge based on an improving spiking neural P system. In knowledge base of a rule-based system, the fuzzy production rules can be modeled by the improving spiking neural P system. The original definition of neurons is no longer the number of spikes, instead by fuzzy numbers. An example is used to illustrate the fuzzy reasoning process.
Keywords
fuzzy reasoning; knowledge based systems; knowledge representation; neural nets; fuzzy knowledge representation; fuzzy numbers; fuzzy production rules; fuzzy reasoning process; rule-based system; spiking neural P system; Biomembranes; Computational modeling; Fuzzy reasoning; Knowledge based systems; Knowledge representation; Neurons; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5584281
Filename
5584281
Link To Document