GA-parameter optimisation of evolving connectionist systems for classification and a case study from bioinformatics
Nikola Kirilov Kasabov, Qun Song · 2004
The paper describes an algorithm for parameter optimisation of evolving connectionist systems (ECOS) in an offline processing mode. The algorithm is illustrated on a case study of a classification system that uses gene expression data to predict an outcome of a treatment of cancer disease.