Forecasting of oil prices has always been a matter of great importance due to its influence in driving a country’s economy. As a matter of fact, the petroleum industry is considered to be the biggest contributor in the industrial sector in terms of providing raw materials to the other industries and generating revenues. Due to the non-linear and unpredictable nature of the oil prices, a lot of ...

Ensuring the best possible stability of UTC(k) (local time scale) and its compliance with UTC scale (Universal Coordinated Time) forces predicting [UTC-UTC(k)] deviations, article presents results work on two methods constructing series (TS) for a neural network (NN), increasing accuracy prediction. In first method, prepared TSs are based deviations determined according to 5-day interval. order...

The evaluation of road safety is a critical issue having to be conducted for successful management in transport systems, whereas considered transportation systems as challenging task according the dynamic this and presence large number effective parameters on safety. Therefore, analysis important contributing factors affecting vehicles involved crashes play key role increasing efficiency For pu...

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

optimization techniques can be efficiently utilized to achieve an optimal shape for arch dams. this optimal design can consider the conditions of the economy and safety simultaneously. the main aim is to present an applicable and practical model and suggest an algorithm for optimization of concrete arch dams to enhance their seismic performance. to achieve this purpose, a preliminary optimizati...