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- W1570254296 abstract "Supervised learning techniques are widely used in object recognition based on neural networks. Presenting class-labelled samples to the neural network and employing certain learning criteria accomplish the supervised learning process. In this research we present a learning algorithm which uses the potential function between cluster centers and samples as the learning criterion. A learning process using Euclidean distance as the criterion is also performed. Results from both methods are compared. >" @default.
- W1570254296 created "2016-06-24" @default.
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- W1570254296 date "2002-12-17" @default.
- W1570254296 modified "2023-09-26" @default.
- W1570254296 title "Supervised learning with potentials for neural network-based object recognition" @default.
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- W1570254296 doi "https://doi.org/10.1109/ssst.1994.287885" @default.
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