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- W1588054110 abstract "In this paper we describe a heuristic approach to the problem of identifying a pattern embedded within a figure from a predefined set of patterns via the utilization of a genetic algorithm (GA). By applying this GA we are able to recognize a set of simple figures independently of scale, translation and rotation. We discuss the fact that this GA is, purportedly, the best among a set of alternatives; a fact which was previously proven appealing to statistical techniques. We describe the general process, the special type of genetic algorithm utilized, report some results obtained from a test set and we discuss the aforementioned results and we comment on these. We also point out some possible extensions and future directions." @default.
- W1588054110 created "2016-06-24" @default.
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- W1588054110 date "2004-01-01" @default.
- W1588054110 modified "2023-09-25" @default.
- W1588054110 title "Pattern Recognition via Vasconcelos’ Genetic Algorithm" @default.
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- W1588054110 doi "https://doi.org/10.1007/978-3-540-30463-0_40" @default.
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