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

摘要：

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.

作者: LIU Xiyu MA Yinghong LIU Hong ZHANG Jianping

作者单位: School of Management and Economics,Shandong Normal University,Jinan,250014

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 761-767

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