Title :
Data Mining based on applying genetic algorithm for extracting rules from a BDB Neural Network
Author :
Wang, Jing-min ; Chen, Lin
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
Abstract :
Neural networks has been widely used in data mining, but the main challenge of it is to get high efficiency and explicit knowledge. So a BDB neural network is proposed to improve the efficiency in the paper. Meanwhile, an improved genetic algorithm, which can enhance ability of selecting fitness, for rule extraction from artificial neural networks is adopted. Compared with other data mining measures, the developed algorithm shows higher performance in efficiency and accuracy.
Keywords :
data mining; genetic algorithms; neural nets; artificial neural networks; data mining; genetic algorithm; rules extraction; Acceleration; Artificial neural networks; Convergence; Cybernetics; Data mining; Delta modulation; Genetic algorithms; Machine learning; Machine learning algorithms; Neural networks; BDB neural network; Data mining; Genetic algorithm; Rule extraction;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620411
