An experimental exercise confirms our predictions of errors.
The Kolmogorov Smirnov test is applied on line for the prediction of error signals.
This extension of the error-likelihood model [48], [49] showed that the model can account for individual differences related to error-likelihood, prediction of error consequences, and conflict effects in ACC.
It represents a crucial element in the neural circuitry of underlying procedural learning, motor control, reward-oriented learning, and the prediction of error signals [ 1].
Also, studies suggest that reward processing in the OFC represents prediction of error responses that mediate learning through updating expected/actual rewards (O'Doherty 2007).
So PC models need to make predictions of the error precision relevant for a given situation.
Thus, even if good results were observed for the proposed prediction both in terms of prediction error and of calibration, it is crucial to check the accuracy of the prediction on a more similar sample.
A quadratic equation for the prediction of angular error that takes into account electrical parameters and part geometry is derived.
In this paper a new approach to the prediction of angular error in wire-EDM taper-cutting is presented.
To better understand the specific factors affecting the level of prediction error of the RPORITA, two relationships were examined: 1) between DSI and prediction error, and 2) between PDD and prediction error.
Firstly, sequential objective formulations, with the objective to reduce the estimation of prediction error of MF metamodel, are constructed to update the LF and HF sampling data.
