Rprop training for Artificial Neural Networks


Updated 23 Aug 2011

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One of the training methods for Artificial Neural Networks is the Resilient Propagation (Rprop). Rprop is usually faster compared to the classical Backpropagation. In this package 4 different Rprop algorithms present in the literature are specifically implemented to train an ANN: Rprop+, Rprop-, IRprop+, IRprop-.

Cite As

Roberto Calandra (2023). Rprop (https://www.mathworks.com/matlabcentral/fileexchange/32445-rprop), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

Another bit of documentation added

Improved the documentation and added a second demo. only small changes in the code.