DocumentCode
3180295
Title
Granular neural network for numerical linguistic data fusion
Author
Xiao-Shuai, Xing ; Li-Chen, Jiao
Author_Institution
Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
2
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
1150
Abstract
This paper researched a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing, fuzzy computing, linguistic computing, and pattern recognition. A granular neural network (GNN) is designed to deal with numerical-linguistic data, to learn internal granular relations between numerical-linguistic inputs and outputs, and to deal with numerical-linguistic data fusion, and predict new relations in a database.
Keywords
computational linguistics; data mining; database theory; fuzzy logic; neural nets; pattern recognition; relational databases; sensor fusion; data mining; fuzzy computing; granular computing; granular neural network; internal granular relations; knowledge discovery; linguistic computing; neural computing; numerical linguistic data fusion; pattern recognition; relational database; Cellular neural networks; Computer networks; Data mining; Feature extraction; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Pattern recognition; Physics computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1179993
Filename
1179993
Link To Document