Re-editing and Censoring of Detectors in Negative Selection Algorithm

Autor: X.Z. Gao, S. J. Ovaska, X. Wang

Publikováno v: International Journal of Computational Intelligence Systems, Vol 2, Iss 3 (2009)

The Negative Selection Algorithm (NSA) is a kind of novelty detection method inspired by the biological self/nonself discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the NSA. The detec

Externí odkaz: https://doaj.org/article/a3ec245b9ff040088fc798cd505c93ec

A Hybrid Artificial Immune Optimization Method

Autor: S. J. Ovaska, X.Z. Gao, X. Wang

Publikováno v: International Journal of Computational Intelligence Systems, Vol 2, Iss 3 (2009)
International Journal of Computational Intelligence Systems, Vol 2, Iss 3, Pp 248-255 (2009)

This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38431b2beffe4e3b3ce47c19a65eec58
https://www.atlantis-press.com/article/1888.pdf

A Fuzzy Predictive Filter for Sinusoidal Signals with Time-Varying Frequencies

Autor: X. Z. Gao, S. J. Ovaska, X. Wang

Prediction of sinusoidal signals with time-varying frequencies has been an important research topic in power electronics systems. To solve this problem, we propose a new fuzzy predictive filtering scheme, which is based on a Finite Impulse Response (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a34089ecdfbde665f922e8064f3ce8e0