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06 Aug 2011 (Updated )

Rprop training for Artificial Neural Networks

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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-.

MATLAB release MATLAB 7.12 (R2011a)
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Comments and Ratings (2)
29 Aug 2013 Roberto Calandra

Hi Matthew,
Yes, the answer is that you can use the same data set for both training and testing. You can do that by setting the test set (test_in in the Demos) equal to the training set (test_in).

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26 Aug 2013 Matthew

Hi, was wondering if i have a set of data with 150 samples. Then can i use your network to perform training then after that perform testing to compare the output of the testing set matching the result.

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12 Aug 2011

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

23 Aug 2011

Another bit of documentation added

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