Abstract. Mathematical and computer modeling of daily thermometry allows to study processes human thermal homeostasis more deeply. In practice, data is obtained using a digital thermometer, which autonomously reads the temperature skin in certain time intervals. The aim present work analyse methods processing data. first method consists applying linear discrete stochastic models state space wit...

in this research, data fusion (df) method was applied to simulate the hydrological process of taleghan reservoir daily inflow. two different df algorithms were proposed and assessed based on k-nearest neighbors (knn) algorithm. four artificial neural network models and two hammerstein-wiener (hw) models were used as the individual simulation models. comparison of the results between individual ...