sensitivity analysis with respect to the functional forms provides estimates of the uncertainties involved in choosing a specific functional structure. this is vital in cge modeling where it is conventional to take elasticities from other studies. in the present study, the robustness of model results with respect to the functional form is checked. in one scenario, the production function is rep...

In this study, artificial neural network was used to predict the microhardness of Al2024-multiwall carbon nanotube(MWCNT) composite prepared by mechanical alloying. Accordingly, the operational condition, i.e., the amount of reinforcement, ball to powder weight ratio, compaction pressure, milling time, time and temperature of sintering as well as vial speed were selected as independent input an...

In this paper, we present a multi-formalism modeling framework (abbreviated by MFMF) for modeling and simulation. The proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. The framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...

this research is concerned about the modification of work alienation of personnel at the payam e nur university. in order to measure the research constructs, this study has used several instruments such as siman’s model for work alienation, organizational culture assessment questionnaire (ocaq), robbins’s model for organizational structure and transformational leadership inventory (tli). this s...

In this paper, we present a multi-formalism modeling framework (abbreviated by MFMF) for modeling and simulation. The proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. The framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...