The errors–in–variables framework concerns static or dynamic systems whose input and output variables are affected by additive noise. Several estimation methods have been proposed for identifying dynamic errors–in– variables models. One of the more promising approaches is the so–called Frisch scheme. This report decribes three different estimation criteria within the Frisch context and compares...

Impressive development of computer networks has been required precise evaluation of efficiency of these networks for users and especially internet service providers. Considering the extent of these networks, there has been numerous factors affecting their performance and thoroughly investigation of these networks needs evaluation of the effective parameters by using suitable tools. There are se...

considering the importance of cd and u as pollutants of the environment, this study aims to predict the concentrations of these elements in a stream sediment from the eshtehard region in iran by means of a developed artificial neural network (ann) model. the forward selection (fs) method is used to select the input variables and develop hybrid models by ann. from 45 input candidates, 13 and 14 ...

in this study, modeling and optimization of coagulation and flocculation processes in cod removal of galvanized wastewater treatment plant of mobarakeh steel complex (msc) were studied. experiments of this study were designed using response surface method which is one of the most efficient methods in experimental design. the variables assessed in this study, are four factors including ph, input...

Data Envelopment analysis is a nonparametric method used to evaluate the performance of profit and non-profit organizations. It assumes that the input and output variables are known a priori. In each environment, there exists a huge number of input and output variables, and all the variables will serve as either input or output variable. If there exist a large number of input and output variabl...

information on nitrate in groundwater resources requires periodic measurements are accurate. despite the measure in some areas due to sensitive social and health community are not reported. therefore, be informed of the status of each area of water quality, modeling is essential. the purpose of this study was the application of artificial neural network method for estimating nitrate and compare...

In selecting input variables by block addition and block deletion (BABD), multiple input variables are added and then deleted, keeping the cross-validation error below that using all the input variables. The major problem of this method is that selection time becomes large as the number of input variables increases. To alleviate this problem, in this paper, we propose incremental block addition...

The main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. In case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...