abstract different factors such as the quality of ova and sperm are involved in propagation process. mobility percentage, ph, mobility duration, compaction and osmolarity of sperm which affect the quality of sperm were tested in this research. this study was carried out in april 2011 in shahid ansari bony fishes propagation and rearing center. according to the results, mean and standard deviati...

background: clinically frank thyroid nodules are common and believed to be present in 4% to 10% of the adult population in the united states. in the current literature, fine needle aspiration biopsies are considered to be the milestone of a model which helps the physician decide whether a certain thyroid nodule needs a surgical approach or not. a considerable fact is that sensitivity and specif...

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...

This paper utilizes artificial neural networks for temperature forecasting. Our study based on back propagation neural network which is trained and tested based on dataset provided. In formulating the ANN-based predictive model; three-layer network has been constructed. Suitable air temperature predictions can provide farmers and producers with valuable information when they face decisions rega...

the artificial immune system applications vary from anomaly detection, fault tolerance, as well as data classification and data clustering. It was noticed that the applications on the design of the artificial immune memory are sparse, despite its importance in the learning process within the artificial immune networks. Most of the work presented focused only on the secondary immune response. In...

the ability of artificial neural network (ann) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real  concern. as the most applicable network, the ann with multi-layer back propagation perceptrons is used to approximate functions. throughout the current work, the daily effective temperature is determined, and then the weather data w...