background: noise prediction is considered to be the best method for evaluating cost-preventative noise controls in industrial workrooms. one of the most important issues is the development of accurate models for analysis of the complex relationships among acoustic features affecting noise level in workrooms. in this study, advanced fuzzy approaches were employed to develop relatively accurate ...

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...

a quanitative structure property relationship was proposed to calculate the binary interaction terms of the jouyban-acree model using solubility parameter, boiling point, vapour pressure and density of solvents. the applicability of the proposed method for reproducing solubility data of anthracene in binary solvents has been evaluated using 116 solubility data sets collected from the literature...

short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...

in the present study, the energetic and economic modeling of lentil and chickpea production in esfahan province of iran was conducted using adaptive neuro-fuzzy inference system (anfis) and linear regression. data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. the results showed that the yield and total energy consumption w...

precipitation data is of utmost importance to carry out many hydro-meteorological studies. observed warming over several decades has been linked to changes in the large-scale hydrological cycle such as: increasing atmospheric water vapour content, changing precipitation patterns, intensity and extremes, reduced snow cover and widespread melting of ice, and changes in soil moisture and runoff. p...

understanding the implication of genotype-by-environment interaction (gei) and improving stability of crop yield in a target production environment is important in plant breeding. in this research, we used the ammi (additive main effects and multiplicative interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. results of this study indicated that the fgh tes...

regarding to increased use of groundwater resources, it seems necessary to have more accurate knowledge of characteristics of aquifers in order to improved usage and accurate management of these resources. in this study, we simulated groundwater flow of qazvin aquifer usingvisual modflow model, collecting data and statistics, as well as using different studies. the simulation model has operated...

background: pre-chlorination of raw water containing natural organic matters may lead to forming harmful disinfection by-products such as trihalomethanes (thms), the measurement of which needs expensive advanced analytical instruments. this study was conducted to anticipate thms formation potential in bandar abbas drinking water system using cheap and simple experiments and a mathematical model...

aims: most of the world population who is at work and production age does not have appropriate and regular physical activity for various reasons. accordingly, the researchers tried to evaluate the effect of physical activity predictors of employees through the path analysis based on the pender's health promotion model (hpm). methods and materials: we conducted this study on 359 employees of the...