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- W2267210708 abstract "In this study, an octagonal-based self-organizing network’s lattice structure is proposed to allow more exploration and exploitation in updating the weights for better mapping and classification performances.The neighborhood of the octagonal-based lattice structure provides more nodes for the weights updating than standard hexagonal-based lattice structure. Based on our experiment, the octagonal-based lattice structure performance is better than standard hexagonal lattice structure on biomedical datasets for classification problem. This indicates that proposed algorithm is an alternative lattice structure for self-organizing network which give more wisdom to classification problems especially in the biomedical domains." @default.
- W2267210708 created "2016-06-24" @default.
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- W2267210708 date "2015-08-11" @default.
- W2267210708 modified "2023-09-27" @default.
- W2267210708 title "Octasom an octagonal based som lattice structure for biomedical problems" @default.
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