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The inputs that have been used are bipolar in the form of a matrix, which represents pixels which take a camera shot of a hand-written script. Depending on the pixel location and strength, the model trains itself from the train data, and then tests itself on test data which must be provided manually.
Visual aids are there which will help with viewing the inputs that are given and the manual inputs that you feed in to test the efficacy.
You can run in sections to not get overwhelmed by all the outputs lining up together at the same time.
Cite As
Gautam Chettiar (2026). Character Recognition using Single Layer Perceptron (SLP) (https://www.mathworks.com/matlabcentral/fileexchange/103110-character-recognition-using-single-layer-perceptron-slp), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (2.36 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
