This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...

The major aim of processing satellite images is to prepare topical and effectivemaps. The selection of appropriate classification methods plays an important role. Amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. In present study, TM images of 1987, and ETM+ images of 2000 and 2006were analyzed using artificial fuzzy ARTMAP neural netwo...

since a high toxicity of cyanide which use as a reagent in the gold processing plant, thiosulfate has been recognized as a environmental friendly reagent for leaching of gold from ore. after gold leaching process it's important for recovery of gold from solution using adsorption or extraction methods, one of these methods is activated carbon.the loading of gold from industrial thiosulfate solut...

abstract- the high production of orange fruit in iran calls for quality sorting of this product as a requirement for entering global markets. this study was devoted to the development of an automatic fruit sorter based on size. the hardware consisted of two units. an image acquisition apparatus equipped with a camera, a robotic arm and controller circuits. the second unit consisted of a robotic...

this study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from kouzestan province. the regression analyses as well as artificial neural network (ann) are also applied to evaluatethe correlations. the results of simple regression analyses show no correlation between mineralogical features and tensile strength.however,...

backgrounds and aims: the tehran province was subject to the second highest incidence of fatalities due to traffic accidents in 1390. most studies in this field examine rural traffic accidents, but this study is based on the use of logit models and artificial neural networks to evaluate the factors that affect the severity of accidents within the city of tehran. materials and methods: among the...

introduction: diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. therefore, the patient might be irritated. so, an intelligent method for quick and accurate diagnosis would be crucial. intelligent sys...

the application of neural networks to model a laboratory scale inverse fluidized bed reactor has been studied. a radial basis function neural network has been successfully employed for the modeling of the inverse fluidized bed reactor. in the proposed model, the trained neural network represents the kinetics of biological decomposition of organic matters in the reactor. the neural network has b...

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