runoff estimation is one of the main challenges encountered in water and watershed management. spatial and temporal changes of factors which influence runoff due to het-erogeneity of the basins explain the complicacy of relations. artificial neural network (ann) is one of the intelligence techniques which is flexible and doesn’t call for any much physically complex processes. these networks can...

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...

lithofacies identification can provide qualitative information about rocks. it can also explain rock textures which are importantcomponents for hydrocarbon reservoir description sarvak formation is an important reservoir which is being studied in the marun oilfield, in the dezful embayment (zagros basin). this study establishes quantitative relationships between digital well logs data androutin...

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,...

objective(s): chitosan, a biodegradable and cationic polysaccharide with increasing applications in biomedicine, possesses many advantages including mucoadhesivity, biocompatibility, and low-immunogenicity. the aim of this study, was investigating the influence of ph, ratio of azelaic acid/chitosan and molecular weight of chitosan on loading efficiency of azelaic acid in chitosan particles. mat...

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...

this research intends to develop a method based on the artificial neural network (ann) to predict permanent earthquake-induced deformation of the earth dams and embankments. for this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. in order to predict earthquake-induced deformation o...

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...