Sentence examples for network of errors from inspiring English sources

However, pre-malignant lesions may be present in a high proportion of healthy individuals, and whether these progress to an invasive metastatic fatal cancer can depend on an extraordinarily complex interacting network of errors, imbalances and disturbances.

No fMRI study, however, has tested for MPH effects on motor response inhibition in medication-naive children with ADHD nor on neural networks of error processing.

Three equations were proposed and applied to the estimation of relative importance of each given factor from the weightings of connecting links in the trained artificial neural network of an error back-propagation model.

This paper proposes to apply extreme learning machine to multipath ultrasonic flowmeters, which can analytically determine the output weights of networks instead of error backpropagation algorithm and iterative tuning of the parameters, and therefore provide high metering accuracy at extremely fast learning speed as well as require least human intervention.

Perceptions of high video quality and a robust environment are essential for the delivery of online advertising in P2P VoD networks; therefore, this study attempts to make a system that is tolerant of network errors in terms of video enhancement and online P2P advertising availability.

To avoid "overfitting" problems, we chose an adequate regularisation method involving the modification of the conventional mean sum of the squares of the network errors by the addition of a term equal to the sum of the squares of the network synaptic weights and bias (Derras et al. 2012, 2014).

What gets lost is the accessibility, which is now only reserved for those who can not only afford it but also survive the infinity gauntlet of network errors.

For example, learning can be characterized fruitfully in terms of changes in synaptic weights in the network and subsequent reduction of error in network output.

In this section, we evaluate the impact of network topology errors on real-time LMP using the proposed LMP change index.

Briefly, the Hessian matrix is approximated as: (7) H = J ' J, where J is the Jacobian matrix that contains first derivatives of the network errors with respect to network parameters (the weights and biases).

Artificial neural network based on back propagation of errors algorithm was applied as a nonlinear modelling method.