A neural network paradigm named Self-Organizing Learning Array system has been simulated in software. Hardware implementation limitations are considered in this simulation. Simulation is performed based on a benchmark classification problem, the Australian Credit Card problem. The system behavior is observed and the learning algorithm is examined. The correct classification rate has been compar...

In simulation-based optimization, we seek the optimal parameter settings that minimize or maximize certain performance measures of the simulation system. In this paper, we use a two-phase approach to calibrate simulation parameters using classification tools. This classification-based method is used in Phase I to facilitate the global search process and it is followed by local optimization in P...

One of the most important methods employed to measure the market risk is value at risk calculation method. In this study, the value at risk of banks listed on the Tehran Stock Exchange and Over-the-counter (OTC) are calculated using parametric model, Monte Carlo simulation, historical simulation and Two-Sided Power (TSP) Distribution. The sample includes all listed banks in Iran. The results sh...

We report in this paper on a novel modeling and simulation approach to predict orientation errors of garment-attached sensors and their effect on posture classification. Such errors occur frequently in smart garment implementations and can reduce sensor information quality for movement and posture recognition. A kinematic model of the human upper-body was developed to simulate upper limb postur...