DATA MINING BASED ON APPLYING GENETIC ALGORITHM FOR EXTRACTING RULES FROM A BDB NEURAL NETWORK

摘要：

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.

关键词： BDB neural network Genetic algorithm Rule eztraction Data mining

作者: JING-MIN WANG LIN CHEN

作者单位: Department of Economics and Management, Baoding 071003, China North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 240-244

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）