in this paper, an adaptive-network-based fuzzy inference system (anfis) is used for forecasting of natural gas consumption. it is clear that natural gas consumption prediction for future, surly can help statesmen to decide more certain. there are many variables which effect on gas consumption but two variables that named gross domestic product (gdp) and population, are selected as two input var...

Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold prices have been used as predictor and compare the results with Goyal's variables. Second, unlike previous researches new machine learning algorithm called Deep learning (DP) has bee...

In this paper it is argued that Hintikka’s game theoretical semantics for Independence Friendly logic does not formalize the intuitions about independent choices; it rather is a formalization of imperfect information. Furthermore it is shown that the logic has several strange properties (e.g. renaming of bound variables is not allowed). An alternative semantics is proposed which formalizes intu...

Several variants of a first-order simplification rule for nonnormal form tableaux using syntactic constraints are presented. These can be used as a framework for porting methods like unit resolution or hyper tableaux to non-normal form free variable tableaux.

An alternative approach to the semantics of definite descriptions was proposed by Heim in her dissertation [1982]. Heim assigns to pragmatics a larger part of the task of specifying the meaning of definite descriptions than the neo-Russellians do. In Heim’s theory, definite and indefinite NPs are semantically equivalent, and both introduce free variables. The truth conditions proposed by Heim f...