Wind speed forecasting can accurately improve prediction efficiency of wind power in wind farm, decrease failure probability of wind turbine, and extend life cycle. An innovative algorithm is proposed to optimize both the parameters of least squares support vector machine (LSSVM) and the procedure of finding sparse support vector. Firstly, the defects of support vector are analyzed. Then inequa...

BACKGROUND Outbreaks of hand-foot-mouth disease (HFMD) have been reported for many times in Asia during the last decades. This emerging disease has drawn worldwide attention and vigilance. Nowadays, the prevention and control of HFMD has become an imperative issue in China. Early detection and response will be helpful before it happening, using modern information technology during the epidemic....

Some concern has been expressed over the continuous low production from Marginal oil field. This problem ascribed to multitude of hindrances occasioned by nature earth formation in zone. Attempts ascertain character or complexion such problems have often eluded researchers and operators study adopts use auto-regressive time series model find out root cause mechanism that generate high output ma...

Export increases the total demand in society, which turn level of income and more through multiplier. This study investigates from an empirical point view determinants affecting Sudan’s exports during period (1977- 2018). The purpose was to identify interrelation between variables findings can be used for development economy. data obtained annual time series World Bank; input into Auto regressi...

this article analyses the effects of foreign exchange commitment and exchange rate unification policies on iran’s non-oil exports during the last three decades. in addition, the effects of these policies on non-oil exports have empirically been estimated. for this purpose, an export supply model was estimated using the econometrics technique of auto regressive distributed lag (ardl) and reliabl...