Abstract Depending upon the load intensity and time variation information, we established indicator system to analyze of commercial halls, so that further optimization actions can be taken in practical application scenarios. The representative clustering algorithms including k-means AC algorithm are chosen for comparative analysis, on this basis, an enhanced is put forward study because traditi...

rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...