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79 results for “Empirical Models”
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Research ArticleOpen accessIn the abstractHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Cycles in Employment, Inflation and Real Unit Wage Costs, Qualitative Analysis and Quantitative AssessmentPeter Flaschel, Goeran Kauermann, Timo TeuberThis study provided some theoretical foundations for the empirical hypothesis. At first presented two simple prototype models of inflation, stagflation and disinflation. We concluded that there are cycles with a phase length much longer than the ordinary business cycle (in fact approximately five times as long as we saw in the empirical phase plots of the paper) which are not … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 18 Dec 2005 · 8,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractIterative Feedforward Control for Bearing-Free Multibody SystemsNicola Y. Bailey, Christopher Lusty, Patrick S. KeoghAutomated machinery and robotics are commonly conventional multibody systems containing bearing components, which exhibit uncertain, discontinuous and complex tribological characteristics. These generate wear and fundamentally limit the precision of small scale motion due to the tribological effects being difficult to compensate for using model-based active control. However, they can be eliminated through the replacement of traditional bearing joints with flexure … …Journal of Mechatronics and Robotics, Vol. 5, Issue 1 · 6 Dec 2021 · 6,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Equation Model (SEM) for Evaluating Factors Affecting ICT4D Project SuccessHouda Fakhkhari, Bouchaib Bounabat, Maria BennaniInformation Communication Technology for Development (ICT4D) enables organizations to transform and evolve. Despite the contributions of methodologies and models for project management, the number of failed ICT4D projects remain high; as a consequence, researching crucial success factors of ICT4D projects remains an important matter for practitioners and researchers. Studies and researches on factors impacting ICT4D projects' success are various, fragmented … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 7,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost Efficiencies and Rankings of Flagship UniversitiesG. Thomas SavProblem statement: Each state in the U.S. touts a premier university as the flagship of its publicly funded higher education system. With decreased government budgets and increased interest in public management reforms, these institutions are being pressured to provide evidence of and set examples for ever greater improvements in operating cost efficiencies. The problem, however, is that empirical measures of … …American Journal of Economics and Business Administration, Vol. 3, Issue 4 · 20 Jan 2012 · 7,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Time Series: An Application to Tourism Demand ForecastingMuhammad Hisyam Lee, Maria Elena Nor, Suhartono et al.Problem statement: Forecasting is very important in many types of organizations since predictions of future events must be incorporated into the decision-making process. In the case of tourism demand, better forecast would help directors and investors make operational, tactical and strategic decisions. Besides that, government bodies need accurate tourism demand forecasts to plan required tourism infrastructures, such as accommodation site … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 8,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive ModelSuhartono, B. S.S. Ulama, A. J. EndhartaProblem statement: The aim of this research was to study further some latest progress of wavelet transform for time series forecasting, particularly about Neural Networks Multiscale Autoregressive (NN-MAR). Approach: There were three main issues that be considered further in this research. The first was some properties of scale and wavelet coefficients from Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition, particularly … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractAre There Smaller Leverage Effects in Less-Developed Markets? Evidence from an Oil Exporting CountryMosayeb Phalavani, Parinaz EzzatiProblem statement: This study uses daily data from the Tehran Stock Market (TSM) to illustrate the nature of stock market volatility in an undeveloped and young stock market. Although most studies suggest that a negative shock to stock prices will generate more volatility than a positive shock of equal magnitude but there is no evidence of asymmetric effect in TSM. … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,521 accessesView PDFCite