background : in medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. due to the limitations of usual statistical models, other methods such as artificial neural network (ann) and hybrid models could be used. in this paper, we propose a hybrid artificial neural network-genetic algorithm (ann-ga) model to predictio...

A priori wirelength prediction is an important and often addressed problem in physical design with numerous and high impact applications. In the last four decades a wide spectrum of insightful and sophisticated techniques for a priori wirelength prediction have been developed. In addition, highly accurate predictions and models have been reported for average wirelength and wirelength distributi...

this study predicts corporate bankruptcy five years before its occurrence using financial ratios introduced in altman’s z-score model and current ratio. three estimation methods namely; liner probability, logit and probit models have chosen for model estimation. the sample contains 134 companies in tehran stock exchange during 2003. the precision of prediction of the estimated models for the ma...

Between 1911 and 1984, the National Bureau of Standards (NBS) conducted a large number of corrosion studies that included the measurement of corrosion damage to samples exposed to real-world environments. One of these studies was an investigation conducted between 1922 and 1940 into the corrosion of bare steel and wrought iron pipes buried underground at 47 different sites representing differen...

background: data mining (dm) is an approach used in extracting valuable information from environmental processes. this research depicts a dm approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (wsp) in birjand, a city in eastern iran. methods: multiple regression (mr) and neural network (nn) models were examined us...

1 Associate Professor of Structural Engineering College of Engineering, King Saud University Email: [email protected] Abstract – In Reinforced concrete structures chloride ion penetration is considered to be a major cause of corrosion of reinforcing bars. Conventional concretes fail to prevent the intrusion of moisture and aggressive ions adequately. The use supplementary cementing composite ma...

due to the importance of the import management, this study applies generalized ardl approach to estimate midas regression for wheat import value and to compare the accuracy of forecasts with those competed by the regression with adjusted data model. mixed frequency sampling models aim to extract information with high frequency indicators so that independent variables with lower frequencies are ...

This paper reviews the available literature relating to the emerging research into the performance of coatings under combined wear and corrosion conditions. Understanding how coatings perform under these tribo-corrosion conditions is essential if the service life of equipment is to be predicted and to allow service life to be extended. Therefore, the tribo-corrosion performance of coatings depo...

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...