نتایج جستجو برای: final prediction error

تعداد نتایج: 667351  

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...

2013
Thomas Nejsum Madsen Søren Andersen Anders Ringgaard Kristensen

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...

1993
Claus Svarer Lars Kai Hansen

| 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...

2003
Seth Haines Antoine Guitton Paul Sava

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...

Journal: :Korean Journal of Applied Statistics 2015

Journal: :Proceedings of the Royal Society B: Biological Sciences 2018

Journal: :Journal of Computer and System Sciences 2001

Journal: :Transactions of the American Mathematical Society 1995

ژورنال: پژوهش های ریاضی 2015
Iranpanah , N., Mikelani , P,

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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