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- W2081154479 abstract "Summary form only given, as follows. A neural net classifier is applied to non-Gaussian features calculated from numeric hand-printed (NHP) characters. A topological classifier is applied to the same data for comparison. Others have shown that neural nets can be optimal. A neural net is used to verify that the performance of the topological classifier is near optimal. A feature selection approach which utilizes the neural net is proposed and demonstrated as well as a method for fast learning. A reject category is developed so that bad characters are not classified, and the neural net is allowed to express uncertainty. >" @default.
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- W2081154479 date "1989-01-01" @default.
- W2081154479 modified "2023-09-26" @default.
- W2081154479 title "Analysis of non-Gaussian data using a neural network" @default.
- W2081154479 doi "https://doi.org/10.1109/ijcnn.1989.118318" @default.
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