Abstract
A feedforward neural network with error backpropagation has been designed to recognize hand-drawn patterns in a cognitive test. The architecture uses both position and direction sensitivity in the input layer. The training set consisted of 659 icons which were shifted horizontally and vertically to give a total training set of 5931 icons. In testing on an independent set of 31,192 icons produced by 557 subjects from a Danish standard population sample, the rate of misclassification was 0.12% compared with an average rate of sequence errors of 1.6%.
Original language | English |
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Journal | International Journal of Neural Systems |
Volume | 5 |
Issue number | 3 |
Pages (from-to) | 253-256 |
ISSN | 0129-0657 |
DOIs | |
Publication status | Published - 1994 |
Externally published | Yes |