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Значения термина backpropagation на английском

русский
метод обратного распространения ошибки
испанский
retropropagacion
каталонский
retropropagació

Optimization algorithm for artificial neural networks.

Похожие термины
метод обратного распространения ошибки
Синонимы
Examples for "bp"
Examples for "bp"
1
The leads are taking indications of interest at 30bp area over mid-swaps.
Reuters
2
The books are open at guidance heard at mid-swaps less 6bp area.
Reuters
3
That put the new issue concession on the three-year at about 18bp.
Reuters
4
The note was initially marketed at 45bp area over three month Euribor.
Reuters
5
The issuer is marketing a five-year deal at 205bp area over mid-swaps.
Reuters
1
Beware of attaching too much meaning to the weights backprop finds, however.
The Master Algorithm
2
That's what happens to backprop, except it climbs mountains in hyperspace instead of 3-D.
The Master Algorithm
3
Then learn the connection weights using backprop, and your brand-new brain is ready to use.
The Master Algorithm
4
And with backprop we can learn the appropriate weights, resulting in a successful Nike prospect detector.
The Master Algorithm
5
This makes backpropagation-orsimply backprop-theconnectionists' master algorithm.
The Master Algorithm
Использование термина backpropagation на английском
1
This makes backpropagation-orsimply backprop-theconnectionists' master algorithm.
The Master Algorithm
2
Combining connectionism and evolutionism was fairly easy: just evolve the network structure and learn the parameters by backpropagation.
The Master Algorithm
3
To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpropagation algorithm suitable for hardware implementation.
Pubmed
4
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 Master Algorithm
5
The aim of this study is to develop backpropagation neural networks (BPNN) for better prediction of ventilatory function in children and adolescents.
Pubmed
6
A three layer backpropagation neural network containing 400 input nodes, 20 intermediate nodes, and one output node was able to forms.
Pubmed
7
Backpropagation, as this algorithm is known, is phenomenally more powerful than the perceptron algorithm.
The Master Algorithm
8
Backpropagation is well suited to this problem because of its ability to efficiently learn nonlinear functions.
The Master Algorithm
9
Backpropagation is a form of gradient descent, which Alchemy uses to optimize the weights of a Markov logic network.
The Master Algorithm