Integration of intelligent information technologies ensembles for modeling and classification

Authors:
Andrey Shabalov;Eugene Semenkin;Pavel Galushin
Affiliations:
Institute of Computer Science and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia;Institute of Computer Science and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia;Institute of Computer Science and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia
Venue:
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Year:
2012

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Abstract

Intelligent information technologies help us to solve complex data mining problems and therefore they are of particular interest. However, a generation of a specific technology structure demands high skills of a developer and this process is time-consuming as well. In this paper, we present an automated integration of intelligent information technologies for complex systems modeling and classification. We consider such popular techniques as neural networks, fuzzy rules based systems and neuro-fuzzy systems as well as evolutionary algorithms for automated generation. We also propose a new idea of genetic programming application to the design of intelligent information technologies ensembles for effectiveness and reliability improvement.