In the existing DEA models, we have a centralized decision maker (DM) who supervises all the operating units. In this paper, we solve a problem in which the centralized DM encounters limited or constant resources for total inputs or total outputs. We establish a DEA target model that solves and deals with such a situation. In our model, we consider the decrease of total input consumption and th...

Artificial neural networks (ANN) have shown to be a powerful tool for system modeling in a wide range of applications. The focus of this study is on neural network applications to data analysis in egg production. An ANN model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

This longitudinal study investigated the impact of different Frequency Patterns (FP) on the syntactic production of a six-year-old EFL learner in a home context. Target syntactic constructions were presented using games and plays and were traced for their occurrence patterns in input and output. Following each instruction period, the constructions were measured through immediate and delayed ora...

The present study is to indicate that the comparison between sectoral production multipliers of an input-output (I/O) model and a social accounting matrix (SAM) framework is almost impossible without taking into account accounting balances and theoretical considerations. Theoretically, the I/O model provides the Leontief’s production function, on the basis of which sectoral output multiplier ca...

today, the discussion of regularity monetary policy in achieving inflation and output gap stabilization is important. in this paper, we investigated the persistence of the output gap in iran economy and then by using a hybrid new keynesian model based on quarterly data for 1990:1- 2011:3. we compared three alternative instrumental rules in monetary policy for iran economy. the results indicated...