A method of constructing decision tree based on improved DRNN network
Na Guo · Computer engineering & Software · 2010
Decision tree is an important method for data mining as well as induction learning.ID3 algorithm is introduced in this paper.The disadvantage of ID3 algorithm has an tendency to choose attributions which has more values;neural network,which is not easy to extract the claasification rules,can also be used to classify things.Based on DRNN network which is optimized by Genetic algorithm,the use of the different method to build decision tree is proposed.It has the high-precision that neural network classifier does,meanwhile,its classification rules are intuitive.Experimental data shows that the proposed method is more practical and able to predict and classify things in a better way.