Title :
Using MVFEWNN for data mining [MVFEWNN read IMVFEWNN]
Author :
Jianguo, Zheng ; Fang, Liu ; Licheng, Jiao
Author_Institution :
Hubei Automotive Industries Inst., Shiyan, China
Abstract :
Based on analyzing the immune phenomena in nature and utilizing performances of the existent artificial neural network, a novel network structure, IMVFEWNN (immune multiple variant function estimation wavelet neural network), is proposed which integrates the immune mechanism and the structure of neural information processing. The analysis in theory and the simulation test for a data mining problem show that, compared with the artificial neural network, IMVFEWNN is not only effective but also feasible.
Keywords :
data mining; database management systems; neural nets; parameter estimation; wavelet transforms; KDD; artificial neural network; data mining; immune multiple variant function estimation wavelet neural network; knowledge discovery in databases; neural information processing; Automotive engineering; Data mining; Immune system; Intelligent networks; Neodymium; Neural networks; Radar; Signal analysis; Spatial databases; Testing;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180014
