نتایج جستجو برای: final prediction error
تعداد نتایج: 667351 فیلتر نتایج به سال:
This paper presents the prediction of vehicle's velocity time series using neural networks. For this purpose, driving data is firstly collected in real world traffic conditions in the city of Tehran using advance vehicle location devices installed on private cars. A multi-layer perceptron network is then designed for driving time series forecasting. In addition, the results of this study are co...
In normal situations pigs show a stable diurnal drinking pattern. Based on experimental data a dynamic model is developed for prediction of the drinking behavior of growing pigs. A state space model with cyclic components is proposed for modelling the diurnal drinking pattern, measured as hourly sums. Determination of variance structure by use of discount factors is suggested. Model performance...
| We address pruning and evaluation of Tapped-Delay Neural Networks for the sunspot benchmark series. It is shown that the generalization ability of the networks can be improved by pruning using the Optimal Brain Damage method of Le Cun, Denker and Solla. A stop criterion for the pruning algorithm is formulated using a modiied version of Akaike's Final Prediction Error estimate. With the propos...
Non-stationary Prediction Error Filters (PEF’s) present an effective approach for separating multiples from primaries in the angle domain. The choice of models to be used for estimation of the PEF’s has a substantial impact on the final result, but is not an obvious decision. Muting in the parabolic radon transform (PRT) domain produces an effective multiple model, but the corresponding primary...
One of the main goals of studying the time series is estimation of prediction interval based on an observed sample path of the process. In recent years, different semiparametric bootstrap methods have been proposed to find the prediction intervals without any assumption of error distribution. In semiparametric bootstrap methods, a linear process is approximated by an autoregressive process. The...
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