Sentence examples for propagation training from inspiring English sources

The back propagation training algorithm has been extensively utilized for modelling several problems in environmental engineering.

The network is trained using back propagation training algorithm and tested for its performance with the expertise.

A multilayer feed forward ANN architecture, trained using error-back propagation training algorithm (EBPTA) is employed for this purpose.

Levenberg Marquardt Back Propagation training algorithm with mean square error performance was used to train the network.

This study presents a comparison between several architectures of the multi-layer feed-forward neural network with a back propagation training algorithm for tool condition monitoring (TCM) of twist drill wear.

Feed forward neural network architecture with Levenberg Marquardt (LM) back propagation training algorithm was used to train the neural network model using hourly water level data of the period June September 2006.

The network architectures considered are the usual feed forward back propagation trained using the standard error back propagation as well as the cascade correlation training schemes, relatively less used configurations of radial basis function and adaptive neuro-fuzzy inference system.

A feed-forward neural network using back-propagation training algorithm was developed for the prediction.

The multilayered perceptron (MLP) neural networks with feed-forward back-propagation training algorithms were designed to predict the scour depth.

This allows for using back-propagation training [56] and by this, a convergence to a better local optimum.

The back-propagation training algorithm technique adjusts the weights to obtain network that is closed to the desired output [32].