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# Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network

@article{Rubio2011UniformlySB, title={Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network}, author={Jos{\'e} de Jes{\'u}s Rubio and Plamen P. Angelov and Jaime Pacheco}, journal={IEEE Transactions on Neural Networks}, year={2011}, volume={22}, pages={356-366} }

- Published 2011 in IEEE Transactions on Neural Networks
DOI:10.1109/TNN.2010.2098481

Neural networks (NNs) have numerous applications to online processes, but the problem of stability is rarely discussed. This is an extremely important issue because, if the stability of a solution is not guaranteed, the equipment that is being used can be damaged, which can also cause serious accidents. It is true that in some research papers this problem has been considered, but this concerns continuous-time NN only. At the same time, there are many systems that are better described in the… CONTINUE READING

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