This paper proposed an integrated geometric error identification and prediction method to solve the uncertainty problem of PDGEs rotary axis. First, based on homogeneous transform matrix (HTM) multi-body system (MBS) theory, The transfer only considering C-axes rotated is derived position model. Then a errors axis introduced by measuring increment in three directions. Meanwhile C-axis are descr...

yield prediction before harvesting is one of the tools in order to planning food production supply in future.yield prediction was carried out for wheat(triticum aestivum) using different meteorological variables with agrometeorological indices in hamedan district during 2003-04 and 2004-05. according to correlation coefficients, standard error of estimate as well as relative deviation of predic...

For more than a decade, prediction error has been one powerful tool to measure the performance of a neural network. In this paper, we extend the technique to a kind of fault tolerant neural network. Consider a neural network to be suffering from multiple-node fault, a formulae similar to that of Generalized Prediction Error has been derived. Hence, the effective number of parameter of such a fa...

The predictive coding model of perception proposes that neuronal responses are modulated by the amount of sensory input that the internal prediction cannot account for (i.e., prediction error). However, there is little consensus on what constitutes nonpredicted stimuli. Conceptually, whereas mispredicted stimuli may induce both prediction error generated by prediction that is not perceived and ...

Delusions are maladaptive beliefs about the world. Based upon experimental evidence that prediction error-a mismatch between expectancy and outcome--drives belief formation, this study examined the possibility that delusions form because of disrupted prediction--error processing. We used fMRI to determine prediction-error-related brain responses in 12 healthy subjects and 12 individuals (7 male...

The LPC prediction error provides one measure of the success of linear prediction analysis in modeling a speech signal. Although a great deal is known about the properties of the prediction errOr, relatively little has been published about its variation as a function of the position of the analysis frame. In this paper it is shown that a fairly substantial variation in the prediction error is o...