Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{DBLP:conf/rsctc/BartonV08,

• author = "Alan J. Barton and Julio J. Valdes",
• title = "Computational Intelligence Techniques Applied to Magnetic Resonance Spectroscopy Data of Human Brain Cancers",
• booktitle = "Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008",
• editor = "Chien-Chung Chan and Jerzy W. Grzymala-Busse and Wojciech Ziarko",
• series = "Lecture Notes in Computer Science",
• volume = "5306",
• year = "2008",
• pages = "485--494",
• address = "Akron, OH, USA",
• month = oct # " 23-25",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-88423-1",
• DOI = "doi:10.1007/978-3-540-88425-5_50",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "Computational intelligence techniques were applied to human brain cancer magnetic resonance spectral data. In particular, two approaches, Rough Sets and a Genetic Programming-based Neural Network were investigated and then confirmed via a systematic Individual Dichotomization algorithm. Good preliminary results were obtained with 100percent training and 100percent testing accuracy that differentiate normal versus malignant samples.",

}

Genetic Programming entries for Alan J Barton Julio J Valdes

Citations