Abstract
There are many real-world problems of such high complexity that traditional scientific approaches, based on physical and statistical modeling of the data generation mechanism, do not prove effective. Typically, these problems are characterized by multidimensionality, nonlinearities, chaotic phenomena and the presence of a plethora of degrees of freedom and unknown parameters in the underlying data-generating mechanism.
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© 2016 Springer-Verlag Berlin Heidelberg
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Tsihrintzis, G.A., Virvou, M., Jain, L.C. (2016). Intelligent Computing Systems. In: Tsihrintzis, G., Virvou, M., Jain, L. (eds) Intelligent Computing Systems. Studies in Computational Intelligence, vol 627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49179-9_1
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DOI: https://doi.org/10.1007/978-3-662-49179-9_1
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