GA-ARMA Model for Predicting IGS RTS Corrections

Statistical RTS model for digital circuits

0026-2714/$ see front matter 2009 Elsevier Ltd. A doi:10.1016/j.microrel.2009.06.025 * Corresponding author. E-mail addresses: [email protected] (L. Brusamar Wirth), [email protected] (R. da Silva). In this work we study the variation in drain current of MOS transistors due to the capture and emission of electrons at interface states (traps), called random telegraph signal (RTS). Usually, ...

Reference Prior for ARMA(1,1) Model

A GA Model Development for Decision Making Under Reverse Logistics

  Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...

A Solution Model for Predicting Asphaltene Precipitation

Formation of asphaltene deposition during oil production, processing and synthesis is known as a fundamental problem of petroleum reservoir worldwide. Asphaltene is a petroleum fraction that can lead to increasing the operating costs in these industries. Variations in operational pressure, temperature and fluid composition are generally the significant cause of asphaltene precipitation. In ...

A Heuristic Model for Predicting Bankruptcy

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in ...