milk ultrafiltration is a membrane process, which is highly complex innature. the cost effectiveness of the process depends heavily on the flux permeate and the total hydraulic resistance of the membrane. in this work, a comparative study for the prediction of the performance of milk ultrafiltration with ann and statistical method has been carried out. the result reveals that both methods carry...

decision making on budgeting is one of the most important issues for executing managers. budgeting is a major tool for planning and control of projects. in public and non-profit organizations and institutions, estimating the costs and revenues plays an important role in receiving credit and budgeting. in this regard, in the present paper the case of isfahan municipality is considered. one of th...

abstract soil salinity within plant root zone is one of the most important problems that cause reduction in yield in agricultural lands. in this research, salinity in soil profile was simulated in tabriz irrigation and drainage network using saltmod and artificial neural networks (anns) models. based on initial spatial distribution of salinity in soil profile, studying area was divided to 4 dif...

sorption of flavor compounds to inner layer of polymer packages and subsequent diffusion results in loss of food flavor and consequently decreases shelf life and consumer acceptance of food stuffs which in turn causes major economic losses, so it is of utmost importance to research on diffusivity of these compounds in polymers to minimize negative effects of this phenomenon. in current research...

The aim of this paper is to present a comparative study of the different artificial neural networks modeling approach on the static solar photovoltaic (SSPV) model under variable input parameters and conditions. Solar energy generation has widely based its power generation on static solar photovoltaic system generation due to its non-involvement in recurrent maintenance costs and non-replacemen...

filtering of web pages with inappropriate contents is one of the major issues in the field of intelligent network's security. having a good intelligent filtering method with high accuracy and speed is needed for any country in order to control users' access to the web. so, it has been considered by many researchers. presenting web pages in an understandable way by machines is one of the most im...

This paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (CCFST) stub columns under axial loading condition based on Artificial Neural Networks (ANNs) by using a large wide of experimental investigations. The input parameters were selected based on past studies such as outer diameter of column, compressive strength...

This study was conducted to investigate the prediction of growth performance using linear regression and artificial neural network (ANN) in broiler chicken. Artificial neural networks (ANNs) are powerful tools for modeling systems in a wide range of applications. The ANN model with a back propagation algorithm successfully learned the relationship between the inputs of metabolizable energy (kca...

Nowadays data mining is a very popular technique and has been successfully applied in medical area. Classification is a essential approach in data mining. One of the classification methods is a Artificial Neural Networks. Artificial Neural Network (ANN) generally achieve high accuracy of classification. However, knowledge acquired by ANN is incomprehensible for humans. This fact is causing a se...

Neural networks have recently been widely used to model some of the human activities in many areas of civil engineering applications. In the present paper, artificial neural networks (ANN) for predicting compressive strength of cubes and durability of concrete containing metakaolin with fly ash and silica fume with fly ash are developed at the age of 3, 7, 28, 56 and 90 days. For building these...