Feedforward back propagation with Levenberg-Marquardt?

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Turki Haj Mohamad

backpropogation is an optimization technique.

Levenberg-Marquardt (trianlm) is an algorithm that uses backpropogation. There is other algorithms that uses backpropogation such as Bayesian Regularization (trainbr) and Scaled Conjugate Gradient (trainscg).

Point 9 in link below briefly describe the difference:

https://www.mathworks.com/help/nnet/gs/fit-data-with-a-neural-network.html

Also

http://alumni.cs.ucr.edu/~vladimir/cs171/nn_summary.pdf

Article A Study of Various Training Algorithms on Neural Network for...

Maryam kh

Thank you very much Turki

So you mean it is ok to use both of them in same network. my sample is around 400 which is considered as small sample in neural networking.