Implementation of RDPTA Algorithm(Neural Networks)
Version 1.0.0 (1.9 KB) by
Kishor
RDPTA algorithm with TLU Perceptrons to recognize arithmetic operators +, -, x, and / using 5x5 matrix representation characters
Contains a MATLAB code for RDPTA algorithm with TLU Perceptrons to recognize arithmetic operators +, -, x, and / using 5x5 matrix representation characters.
Cite As
Kishor (2026). Implementation of RDPTA Algorithm(Neural Networks) (https://au.mathworks.com/matlabcentral/fileexchange/69008-implementation-of-rdpta-algorithm-neural-networks), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2018b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
Find more on Define Shallow Neural Network Architectures in Help Center and MATLAB Answers
Tags
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
