Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...

This research addresses the mixed-model assembly line (MMAL) by considering various constraints. In MMALs, several types of products which their similarity is so high are made on an assembly line. As a consequence, it is possible to assemble and make several types of products simultaneously without spending any additional time. The proposed multi-objective model considers the balancing and sequ...

Dilution is one of the various existing methods in reducing heavy crude oil viscosity. In this method, heavy crude oil is mixed with a solvent or lighter oil in order to achieve a certain viscosity. Thus, precise mixing rules are needed to estimate the viscosity of blend. In this work, new empirical models are developed for the calculation of the kinematic viscosity of crude oil and diluent ble...

AMS 2000 subject classifications: 62F35 62G20 Keywords: Double robustness Empirical likelihood Heteroscedasticity Kernel estimation Partially linear model Semiparametric efficiency a b s t r a c t We make empirical-likelihood-based inference for the parameters in heteroscedastic partially linear models. Unlike the existing empirical likelihood procedures for heteroscedastic partially linear mod...

The assessment of fragmentation through blasting and therefore subsequent crushing and grinding stages is important in order to control and optimize the mining operation. Prediction of the mean size of fragmented rock by the rock mass characteristics, the blasting geometry, the technical parameters and the explosive properties is an important challenge for the blasting engineers. Some of the ef...

Cloud computing is being adopted by commercial and governmental organizations driven the need to reduce operational cost of their information technology resources search for a scalable flexible way provide release software services. In this model, Quality Services (QoS) agreed between service providers customers through Service Level Agreements (SLA). There thus systematic approaches with which...

in this paper, the gain in ld-celp speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (pso) algorithms to optimize the structure and parameters of neural networks. elman, multi-layer perceptron (mlp) and fuzzy artmap are the candidate neural models. the optimized number of nodes in the first and second hidden layers of el...

this paper investigates the asymmetry in volatility of returns for the iranian stock market using the daily closing values of the tehran exchange price index (tepix) covering the period from march 25, 2001 to july 25, 2012, with a total of 2743 observations. to this end, two sets of tests have been employed: the first set is based on the residuals derived from a symmetric garch (1,1) model. the...