Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters

Published in Chemometrics and Intelligent Laboratory Systems, 2008

Recommended citation: César Hervás-Martínez, M. Silva, Pedro Antonio Gutiérrez, A. Serrano, "Multilogistic regression by evolutionary neural network as a classification tool to discriminate highly overlapping signals: Qualitative investigation of volatile organic compounds in polluted waters." Chemometrics and Intelligent Laboratory Systems, Vol. 92(2), 2008, pp.179--185. http://dx.doi.org/10.1016/j.chemolab.2008.03.005