Research and advances of splitting rule extraction data mining algorithm based on neural networks
Cuicui Guo · 2008
For the advantages of neural networks,the capability of non-linear mapping and exact approaching make a higher precision of rule extraction exist in classifying problems.After figuring out the steps based on a kind of splitting rule extraction data mining algorithm,optimize the input nodes according to the complex structure.And build up a RBF classifying neural networks using JOONE,the UCI sample datum results shows that the effectiveness of this method.