Rprop

版本 1.3.0.0 (360.4 KB) 作者: Roberto Calandra
Rprop training for Artificial Neural Networks
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更新时间 2011/8/23

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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-.

引用格式

Roberto Calandra (2024). Rprop (https://www.mathworks.com/matlabcentral/fileexchange/32445-rprop), MATLAB Central File Exchange. 检索来源 .

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+RNN/

Demos/

版本 已发布 发行说明
1.3.0.0

Another bit of documentation added
1.2.0.0

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

1.0.0.0