abstract one of the major factors on the amount of water resources is river flow which is so dependent to the hydrologic and meteorologic phenomena. simulation and forecasting of river flow makes the decision maker capable to effectively manage the water resources projects. so, simulation and forecasting models such as artificial neural networks (anns) are commonly used for simulation and predi...

in this work, we had examined 7 different types of neutron sources -an isotropic point source, sending 14.1(mev) monoenergetic neutrons ,an spherical source with 30 micron radius sending 14.1 (mev) monoenergetic neutrons, and a 30 micron radius spherical source having gaussian fusion energy spectrum from a d-t fusion, with different bandwidths -1,10,50,100 and 1000 kev and investigated 5 differ...

many large oil and gas fields in the most productive world regions happen to be fractured. the exploration and development of these reservoirs is a true challenge for many operators. these difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. to successfully address these challenges, it is paramount to improve ...

concrete deformation due to temperature and moisture condition will always develop simultaneously and interactively. the environmentally (hygral and thermally) induced stress and deformation are essential to concrete durability. to simulate the deformation of concrete caused by the coupling effect of temperature and moisture, a numerical simulation approach is proposed comprising analytical pro...

Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure that uses the principle of cross-over genetic algorithms as the global optimization techniqu...

one of known methods for measuring, forecasting and managing risk is value at risk, which recently has been used by financial institutions extensively. value at risk (var) is a method for recognizing and evaluating risk and uses standard statistical techniques that have daily using in other contexts. this research is seeking a career for managing investment risk in stock exchange and selection ...

in the present study, the kinetics of biodiesel production through transesterification of brassica carinata oil with methanol in the presence of potassium hydroxide is investigated by kinetic monte carlo simulation. the obtained results from simulation agree qualitatively with the existing experimental data. the kinetics data for each step of suggested mechanism are confirmed by simulation. by ...

in the present study, a new modelling technique was developed for the modelling and analysis of hyperchaotic systems using an expert system based on wavelet decompositions and the adaptive neuro-fuzzy inference system (anfis). the success and superior properties of this new expert system were shown by applying the hyperchaotic chen system which is a hyperchaotic system. the obtained expert s...

this study emphasized the ability of genetic algorithm and cellular automate to simulate urban land use changes by integrating adaptive model. the most important part of modeling is to define transition rules.  in this research, a cellular automata model in dinamica ego software was used coupled with genetic algorithm. according to disability of the software for manipulating large number of var...

in this study, a one-dimensional model called dyresm was used to simulate the thermal structure and artificial destratification of 15-khordad reservoir over a period of one year. the simulation showed that the reservoir is warm monomictic and is stratified during 210 days of the simulation year. the model reproduced the temperature of the meta- and hypolimnion very close to the observed data, b...