in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

this paper describes a simple, physically-based conceptual model utilizing watershed drainage characteristics for rainfall-runoff simulation. this conceptual physiographic model is essentially based on the work of najafi (2003), which has led to a model compris-ing the main tributary subwatersheds and a single main channel subwatershed. the ki-nematic wave (kw) theory is used to describe flow o...

in this paper using catastrophe theory, we investigate non-smooth changes in tehran stock exchange. stock market crashes bring not only panic among investors, but also in deeper market lead to recession and decrease in consumer's confidence. as catastrophe theory is strong tool in explaining nonlinear phenomena, by applying stochastic cusp catastrophe model we examine sudden change in tehr...

Abstract This article aims to provide theoretical model for analyzing challenge of asymmetric information in the third sector of economy (which is the most important challenge, preventing the growth and development of third sector), using the theoretical foundation of contract theory and incentive theory with regard to the special characteristics of third sector derived by its special structur...