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A Connectionist Visual Field Analyzer

We have built an artificial neural network to analyze visual field maps. The program uses the back-propagation method of learning and has been trained with 62 different types of classical visual field defects. When tested against 18 unknowns, it was able to correctly classify 17 of them. Connectioni...

詳細記述

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書誌詳細
主要な著者: Coffey, David, Banks, Gordon
フォーマット: Artigo
言語:Inglês
出版事項: 1989
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2245626/
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