A Differential Evolutionary Architecture for Artificial Neural Trees with Applications to Medical Data Mining

This paper presents an evolutionary structure for neural trees by differential evolution. For a neural tree a structure tree and weights tree are defined A partial ordering based multi-dimensional fitness function is applied to measure the energy of the system. Different to traditional evolution method of genetic programming, a new evolution technique based on differential evolution is proposed A numbering scheme is designed for basic operations of tree structure. Finally we present an experimental framework for the tree evolution. Application frameworks are given in medical data mining and analysis.
LIU Xiyu MA Yinghong LIU Hong ZHANG Jianping
School of Management and Economics,Shandong Normal University,Jinan,250014
国际会议
厦门
英文
761-767
2008-12-12(万方平台首次上网日期,不代表论文的发表时间)