Sharif Digital Repository

The present study seeks to investigate the effects of technology spillover on the performance of automobile companies. In short, technology spillover is an opportunity to transfer and exploit and obtain information, technology or technical know-how, without prior planning. One of the most important indicators in evaluation of cars' manufacturing companies' performance is sales; hence, this study focused on sales variable and took it as a representative of Technology spillover. To this aim, the sales data were collected fromthe domestic car manufacturing companies. For this mean, sales' pattern during ten years is recognized using Seasonal ARIMA (S-ARIMA) model. Akaike Information Criterion... 

This study introduces a new method for forecasting future states of nuclear power plants (NPPs) parameters in abnormal conditions (i.e. transients). The proposed method consists of two steps. First, the type of transients is recognized by the modular EBP based identifier. A hybrid network is then used to forecast the selected parameters of the identified transient. ARIMA model is used to estimate the linear component of the selected parameters. The neural network developed by EBP learning algorithm is then used to estimate the nonlinear component of the selected parameters. Finally, prediction of parameters is obtained by adding the estimated linear and nonlinear components. To analyze the...