Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...

Background: The transtheoretical model (TTM) is used as a framework to implement smoking cessation programs. This model has some subscales based on which the smoking temptation scale is proposed as stages movement factor. This study aimed to translate and validate the temptation subscales of the TTM questionnaire in the Iranian population. Methods...

background : the aim of this study was to generate in silico 3d-structure of the envelope protein of ahfv using homology modeling method to further predict its conformational epitopes and help other studies to investigate its structural features using the model. methods : a 3d-structure prediction was developed for the envelope protein of alkhumra haemorrhagic fever virus (ahfv), an emerging ti...

this paper presents a hybrid approach to developing a short-term traffic flow prediction model. in thisapproach a primary model is synthesized based on neural networks and then the model structure is optimized throughgenetic algorithm. the proposed approach is applied to a rural highway, ghazvin-rasht road in iran. the obtainedresults are acceptable and indicate that the proposed approach can i...

the performance of dual-layer multiple tuned mass dampers (dl-mtmd) with uniformly distributed natural frequencies is investigated. the dl-mtmd consists of one large tuned mass damper (l-tmd) and an arbitrary number of small tuned mass dampers (s-tmd). the primary structure is represented as a single degree-of-freedom system which corresponds to a specific vibration mode to be controlled in a r...

capital structure puzzle is a challenging issue in corporate finance. different researchers attempt to identify ways to determine optimized capital structure which minimizes firm’s cost of capital and maximizes its value, by proposing variety of theories. in line with forming new theories and introducing determinant variables, the absence of comprehensive research which simultaneously tests exi...

the purpose of this research is investigation of application of the arbitrage pricing theory and effect of unanticipated changes in a set of macroeconomic variables such as inflation rate, money supply, exchange rate, oil price, term structure and industrial production on expected security return in tehran stock exchange. in this research, data are analyzed quarterly for the period of 1997-2008...

the factor structure of the listening section of a persian language proficiency test (plpt), developed and used for academic purposes, was examined in this study. a structural equation modeling (sem) was employed using amos (v. 18) to analyze the responses of a number of persian language learners (n=120) who participated in the first piloting phase of the test in 2014. to examine whether the li...

this work is a primary achievement in studying the co2 and n2–oil systems. to predict gas-liquid relative permeability curves, a shan-chen type multicomponent multiphase lattice boltzmann model for two-phase flow through 2d porous media is developed. periodic and bounce back boundary conditions are applied to the model with the guo scheme for the external body force (i.e., the pressure gradient...

considered supply chain in this article consists of one vendor and multiple retailers where the vendor applies vendor managed inventory. considering vendor as a leader and retailers as followers, stackelberg game theory is applied for modeling and analyzing this system. a general mixed integer nonlinear model is developed which can optimizes the performance of the system under revenue sharing c...