Sentence examples for time series prediction from inspiring English sources

The cause of this flaw is that the predictive error in time series prediction is directional.

Time series prediction is one of the most basic predictive analytics needs of several businesses.

Recently, co-evolutionary multi-task learning has been proposed for dynamic time series prediction.

Deep belief network (DBN) has attracted many attentions in time series prediction.

The performance of this model has been benchmarked on both classification and time series prediction problems.

Time series prediction is traditionally handled by linear models such as autoregressive and moving-average.

The time-series prediction algorithms extrapolate this sequence to predict the future value.

Applications include time-series prediction, tomography, optimal control, and portfolio optimization.

The proposed self-organizing approach has been tested on one time-series prediction benchmark problem.

For the second class, a non-linear identification problem for time-series prediction is presented.

The proposed method is subsequently verified in nonlinear system identification and chaotic time-series prediction.