Significados de backpropagation en inglés

This makes backpropagation-orsimply backprop-theconnectionists' master algorithm.

Combining connectionism and evolutionism was fairly easy: just evolve the network structure and learn the parameters by backpropagation.

To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpropagation algorithm suitable for hardware implementation.

The connectionists' master algorithm is backpropagation, which they use to figure out which neurons are responsible for which errors and adjust their weights accordingly.

The aim of this study is to develop backpropagation neural networks (BPNN) for better prediction of ventilatory function in children and adolescents.

A three layer backpropagation neural network containing 400 input nodes, 20 intermediate nodes, and one output node was able to forms.

Backpropagation, as this algorithm is known, is phenomenally more powerful than the perceptron algorithm.

Backpropagation is well suited to this problem because of its ability to efficiently learn nonlinear functions.

Backpropagation is a form of gradient descent, which Alchemy uses to optimize the weights of a Markov logic network.