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Neural Network for Character Recognition by Andrea Herrera is a document available to read on EtoBox.
What is Neural Network for Character Recognition about?
The document summarizes research on using a backpropagation neural network for character recognition of both printed and handwritten text. Experiments tested the effect of set size on recognizing printed text (accuracy decreased with more than 12 characters) and the effect of handwriting style on recognition accuracy (accuracy varied drastically depending on the writer). The firing rule concept is also discussed, which allows neurons to respond appropriately to patterns not seen during training based on sim
- Author
- Andrea Herrera
- Language
- EN