abstract in this paper, markov chain and dynamic programming were used to represent a suitable pattern for tax relief and tax evasion decrease based on tax earnings in iran from 2005 to 2009. results, by applying this model, showed that tax evasion were 6714 billion rials**. with 4% relief to tax payers and by calculating present value of the received tax, it was reduced to 3108 billion rials. ...

abstract. the main purpose of this paper is investigation and identification the concept of dynamic capabilities and clarifying the relationship between these capabilities with the knowledge management process capabilities. as expected, the results showed a positive relationship between these two concepts. this paper includes three main sections. in first section, we identify the concept of pro...

Recent developments in the collection and modeling of intensive longitudinal data have enabled us to fit dynamic twin models, which within-person processes are separated into genetic environ...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...