a neural network is developed for the determination of leaky confined aquifer parameters. leakage into the aquifer takes place from the storage in the confining aquitard. the network is trained for the well function of leaky confined aquifers by the back propagation technique and adopting the levenberg–marquardt optimization algorithm. by applying the principal component analysis (pca) on the a...

important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

drying characteristics of green pea (pisum satium) with an initial moisture content of 76% (db) was studied in a fluidized bed dryer assisted by microwave heating. four drying air temperatures (30, 40, 50 and 60ºc) and five microwave powers (180, 360, 540, 720 and 900w) were adopted. several experiments were conducted to obtain data for sample moisture content versus drying time. the results sh...

in the present work the magnitudes of pigments in the synthetic leather, were measured by means of scanner. initially synthetic leather samples pigmented by three different pigments of yellow, blue and red colors were prepared. then the pigmented samples were scanned, and the values of rgb of images were calculated. the artificial neural network (ann) method used to make relation between rgb va...

conclusions lead contamination in the presence of an emf exacerbates the oxidative damage to plasma proteins as well as the conformational changes in hb. an artificial neural network can be used as a predictive tool for the oxidative danger posed to workers in industrial fields, battery manufacturing companies, and power plants. patients and methods in this experimental study, the blood samples...

the present investigation entails a procedure by which the surface tension and viscosity of liquids could be redicted.to this end, capillary experiments were performed for porous media by utilizing fifteen different liquids and powders. the time of capillary rise to a certain known height of each liquid in a particular powder was recorded. two artificial neural networks (anns) were designed and...

in this study, an artificial neural network was developed in order to analyze flexible pavement structure anddetermine its critical responses under the influence of standard axle loading. in doing so, more than 10000four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, andsubgrade soil were analyzed under the impact of standard axle loading. pave...

objective: social anxiety disorder (sad) is defined as a constant fear of being embarrassed or negatively evaluated in social situations or while doing activities in the presence of others. several studies have examined the role of certain variables that might predict response to treatment and may affect treatment outcome. the purpose of this study was to identify predictive variables of change...

considering the importance of cd and u as pollutants of the environment, this study aims to predict the concentrations of these elements in a stream sediment from the eshtehard region in iran by means of a developed artificial neural network (ann) model. the forward selection (fs) method is used to select the input variables and develop hybrid models by ann. from 45 input candidates, 13 and 14 ...

during the past few years, modeling in agriculture has attracted considerable attention. new modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. this research addressed the trend of energy use in broiler farms in alborz province and sought to model the trend of energy consumption and production in t...