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backpropagation

   Also found in: Encyclopedia, Wikipedia 0.04 sec.
back·prop·a·ga·tion  (bkprp-gshn)
n.
A common method of training a neural net in which the initial system output is compared to the desired output, and the system is adjusted until the difference between the two is minimized.


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In this paper, we compared the prediction of occupational attainment using a backpropagation neural network model and a multinomial logit model Both techniques use variables related to education, experience minority status, disability status, marital status, sex, and geographic region as inputs to perform the prediction.
A comparison of neural networks and econometric discrete dependent ... by Gupta, Vipul K. / Journal of Academy of Business and Economics
The NNM facilitates design of artificial neural networks by making the following selection of networks available to users: Feed-forward, Radial Basis Function, Recurrent, Backpropagation and Competitive Learning.
Integrated Systems, Inc.'s software module brings neural nets to ... by Business Wire
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