This study presents a new procedure based on Artificial Neural Network (ANN) for identification of double cracks in Functionally Graded Beams (FGBs). A cantilever beam is modeled using Finite Element Method (FEM) for analyzing a double-cracked FGB and evaluation of its first four natural frequencies for different cracks depths and locations. The obtained FEM results are verified against availab...

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

A classic problem in neural networks is the depth investigation of the network. Is there any potential benefit when training depth-one threshold circuits by adding extra layers and further training them? This question is investigated in a powerful recently introduced artificial intelligence system, called the Logarithmic Simulated Annealing (LSA) machine, that combines the Simulated Annealing A...

consecutive droughts in sistan and baloochestan province cause water resources restriction and this isa very significant problem for this region. in this study, in order to forecast the drought cycle in 9climatological stations in the province, we used artificial neural networks. the input data wereaverage of annual rainfall data in all stations and also deciles precipitation index, which the f...

Background: Human brucellosis is widespread in Fars province. The present study aimed to investigate the effect of climate on its incidence and determine the areas prone to the infection.Methods: Monthly meteorological data and the incidence rate of human brucellosis during 2009-2015 were collected and their correlation was studied using Pearson’s correlation coefficient. Additionally, th...

accurate estimation of hydrocarbon volume in a reservoir is important due to future development and investment on that reservoir. estimation of oil and gas reservoirs continues from exploration to end of reservoir time life and is usual upstream engineer’s involvements. in this study we tried to make reservoir properties models (porosity and water saturation) and estimate reservoir volume hydro...

Abstract— An educational platform is presented here for the beginner students in the Simulation and Artificial Intelligence sciences. It provides with a start point of building and simulation of the manipulators, especially of 2R planar Robot. It also displays a method to replace the inverse kinematic model (IKM) of the Robot with a simpler one, by using a Multi-Layer Perceptron Neural Network ...