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- W2170295883 abstract "An online, unsupervised training algorithm is presented, which allows a logical neural network already trained to identify classes of objects to adapt to changes in the environment. This algorithm enables the system to operate continuously, without danger of overgeneralisation and displays useful noise-reduction properties. Results indicating its capabilities and characteristics in this adaptation task are described. The algorithm's self-organisation characteristics are also evaluated. >" @default.
- W2170295883 created "2016-06-24" @default.
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- W2170295883 date "2003-01-02" @default.
- W2170295883 modified "2023-09-25" @default.
- W2170295883 title "A logical neural network that adapts to changes in the pattern environment" @default.
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- W2170295883 doi "https://doi.org/10.1109/icpr.1992.201719" @default.
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