abstract prediction of input flow into water resources is regarded as one of the most important issues in optimum planning and management in producing electro-water energy and optimum allocation of water into different consumption sources. different parameters affect on input discharge into dams. climate variables including temperature and rainfall have the most effect on input runoff rate to w...

1. Abstract For the performance measure approach (PMA) of RBDO, a transformation between the input random variables and the standard normal random variables is required to carry out the inverse reliability analysis. Since the transformation uses the joint cumulative density function (CDF) of input variables, the joint CDF should be known before carrying out RBDO. In many industrial RBDO problem...

Aleatoric and epistemic uncertainties can be represented probabilistically in mechanical systems. However, the distribution parameters of are also uncertain due to sparsely available or inaccurate uncertainty information. Therefore, a unified reliability measure method that considers input variables their simultaneously is proposed. The information for could as result insufficient data interval...

Input variables selection (IVS) is proved to be pivotal in nonlinear dynamic system modeling. In order optimize the model of system, a fuzzy modeling method for determining premise structure by selecting important inputs studied. Firstly, simplified two stage curves proposed, which employed sort all possible their relevance with outputs, select input and identify structure. Secondly, reduce com...

theory atoms LTL(Th) formula φ φabs pseudo-Boolean input variables Xabs Input variables X Output variables Y pseudo-Boolean LTL LTL controller check whether the input formula is realizable synthesis