A differential evolutionary architecture for artificial neural trees with applications to medical data mining

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Liu:2008:ITME,

• author = "Xiyu Liu and Yinghong Ma and Hong Liu and Jianping Zhang",
• title = "A differential evolutionary architecture for artificial neural trees with applications to medical data mining",
• booktitle = "IEEE International Symposium on IT in Medicine and Education, ITME 2008",
• year = "2008",
• month = dec,
• pages = "761--767",
• keywords = "genetic algorithms, genetic programming, artificial neural tree structure, differential evolutionary architecture, medical data mining, numbering scheme, partial ordering-based multidimensional fitness function, data mining, evolutionary computation, medical computing, neural nets, trees (mathematics)",
• DOI = "doi:10.1109/ITME.2008.4743969",
• abstract = "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.",
• notes = "Popolation of ANN with single root output. Also known as \cite{4743969}",

}

Genetic Programming entries for Xiyu Liu Yinghong Ma Hong Liu Jianping Zhang

Citations