Abstract
Artificial neural networks and symbolic expression based ensembles are used for solving classification problems. Ensemble members and the ensembling method are generated automatically with the self-configuring genetic programming algorithm that does not need preliminary adjusting. Performance of the approach is demonstrated with real world problems. The proposed approach demonstrates results competitive to known techniques.
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Semenkina, M., Semenkin, E. (2013). Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm. In: Tomassini, M., Antonioni, A., Daolio, F., Buesser, P. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2013. Lecture Notes in Computer Science, vol 7824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37213-1_7
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DOI: https://doi.org/10.1007/978-3-642-37213-1_7
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