نتایج جستجو برای: forecasting evaluation

تعداد نتایج: 864045  

1998
Bijan Fazlollahi Mihir A. Parikh Sameer Verma

Computer-based adaptive teaching can enhance individual learning effectiveness. Several researches have defined the concepts of Intelligent Coaching Systems and adaptive teaching in the past. However, empirical findings are limited to anecdotal evidence guiding the design of these systems. A prototype system based on the idea of adaptive teaching is built in Knowledge Pro which monitors a learn...

Journal: :Journal of Business Economics and Management 2006

2008
S. K. Aggarwal L. M. Saini Ashwani Kumar

Purpose – Price forecasting is essential for risk management in deregulated electricity markets. The purpose of this paper is to propose a hybrid technique using wavelet transform (WT) and multiple linear regression (MLR) to forecast price profile in electricity markets. Design/methodology/approach – Price series is highly volatile and non-stationary in nature. In this work, initially complete ...

2016
Benjamin H. Brinkmann Joost Wagenaar Drew Abbot Phillip Adkins Simone C. Bosshard Min Chen Quang M. Tieng Jialune He F. J. Muñoz-Almaraz Paloma Botella-Rocamora Juan Pardo Francisco Zamora-Martinez Michael Hills Wei Wu Iryna Korshunova Will Cukierski Charles Vite Edward E. Patterson Brian Litt Gregory A. Worrell

SEE MORMANN AND ANDRZEJAK DOI101093/BRAIN/AWW091 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE  : Accurate forecasting of epileptic seizures has the potential to transform clinical epilepsy care. However, progress toward reliable seizure forecasting has been hampered by lack of open access to long duration recordings with an adequate number of seizures for investigators to rigorously compare algo...

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...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1391

the major aim of this study was to investigate the relationship between social and cultural capital and efl students’ critical thinking skills. this study takes this relationship in to account to see if people with different sociocultural status are different regarding their critical thinking skills. to this end, 160 university students majoring in english language and literature, english trans...

2005
A. Orphanou S. Michaelides

A preliminary verification and evaluation is made of the forecast fields of the non-hydrostatic limited area model LME of the German Weather Service (DWD), for a recent three month period. For this purpose, observations from two synoptic stations in Cyprus are utilized. In addition, days with depressions over the area were selected in order to evaluate the model’s forecast skill in storm foreca...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی 1390

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

Improving time series forecastingaccuracy is an important yet often difficult task.Both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. In this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

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