the work exposure conditions such as dust concentration, exposure time, use of respiratory protection devices and smoking status are effective to cause pulmonary function disorder. the objective of this study was prediction of pulmonary disorders in workers exposed to silica dust using artificial neural networks and logistic regression. a sample of 117 out of 150 workers employed in the stone c...

neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

The optimal design methodologies in aeronautics are known to be constrained by the computational burden required direct simulations. Due this reason, development of efficient metamodelling techniques represents nowadays an imperative need for designers. In fact, surrogate models has been demonstrated significantly reduce number high-fidelity evaluations, thus alleviating computing effort. Over ...

Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...

The artificial neural networks, the learning algorithms and mathematical models mimicking the information processing ability of human brain can be used non-linear and complex data. The aim of this study was to predict the breeding values for milk production trait in Iranian Holstein cows applying artificial neural networks. Data on 35167 Iranian Holstein cows recorded between 1998 to 2009 were ...

infiltration rate is one of the most important soil physical parameters and is a basic input data in irrigation and drainage projects. although, a number of theoretical or experimental based equations are presented to describe this phenomenon but the evaluation of some new sciences such as artificial neural networks, for prediction of the phenomenon can be investigated. generally, the infiltrat...

streptokinase is a potent fibrinolytic agent which is widely used in treatment of deep vein thrombosis (dvt), pulmonary embolism (pe) and acute myocardial infarction (mi). major limitation of this enzyme is its short biological half-life in the blood stream. our previous report showed that complexing streptokinase with chitosan could be a solution to overcome this limitation. the aim of this re...

artificial neural network is one of the most robust and reliable methods in online prediction of nonlinear incidents in machining. tool flank wear as a tool life criterion is an important task which is needed to be predicted during machining processes to establish an online tool life estimation system. in this study, an artificial neural network model was developed to predict the tool wear and ...

osmotic dehydration, as a minimal processing method, has found increasingly wide prospects during the past few decades. this process involves mass transfer which is commonly modeled by applications of different procedures, mostly based on fick's law. in this research, we approached the modeling process by first obtaining experimental measurement of potato’s solid gain, water loss and moisture c...