Sentence examples for error prediction from inspiring English sources

In order to solve the problem of the low accuracy of the model in traditional dynamic measurement error prediction, support vector machine (SVM) is applied to predicting the dynamic measurement error of sensors.

Most probably combining what is predicted and what is observed, thereby minimising the error (prediction vs. actual) is the basis for the collected experience in the learning period.

On the basis of instrument error prediction methods, use modular least squares support vector machines to predict the error of inventory reconciliation and eliminate it subsequently.

Practical examples from past experience are quoted and a framework for human error prediction is described.

Finally, an optimization model has been proposed to achieve minimal error prediction.

The research results are useful for the spindle error control and machined surface error prediction.

Examples are given for state estimation in an ovenized crystal clock and error prediction in a master clock.

Some theoretical and empirical insights for human error prediction are embedded in this causal model as simulation rules.

Offshore platforms have significant potential for severe ramifications and thus present a challenging scenario for human error prediction and mitigation.

The back-propagation network training error, prediction error and training time were minimized using a second fractional factorial design.

It has been used for a range of applications, including interface design and evaluation, allocation of function, job aid design, error prediction, and workload assessment.