Study on Improved Flexible Neural tree Optimization Algorithm
The BP neural network is easy to fall into local minimum point,the algorithm convergence speed slow,this paper puts forward an improved algorithm of flexible neural tree,introduced the basic theory knowledge of Flexible neural tree,analyzes the characteristics and advantages of the neural tree.The structure optimization and parameter optimization are adopted some optimization algorithm,Introduced the multi expression programming algorithm for optimization of flexible neural tree structure and by using the improved particle swarm algorithm to optimize the parameters of flexible neural tree,Finally the establishment of complete flexible neural tree model.
flexible neural tree fitness Parameter optimization multi expression programming optimization
Yu Wang
(JI)Business and Technology College 130062, Changchun, China
国际会议
太原
英文
668-671
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）