(UM)
  • Application of simulated annealing to biosignal classification and segmentation
    Cigale, Boris ; Divjak, Matjaž ; Zazula, Damjan
    Simulated annealing is no doubt one of the most popular optimisation methods. Like similar (i.e. genetic algorithms) it is based on the natural phenomena. In this paper two examples of how to use ... this method in the medical applications are presented. In the first example the successfulness of the simulated annealing is compared to the genetic algorithm on the problem of the optimal coefficients determination for cellular neural networks, when used for segmentation of ovarian ultrasound images. In thi field the later method produced better results. The second example discusses the usage of simulated annealing for optimisation of signal classification.
    Source: Proceedings (Str. 165-170)
    Type of material - conference contribution
    Publish date - 2002
    Language - english
    COBISS.SI-ID - 7139606

source: Proceedings (Str. 165-170)

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