This study was conducted to compare the performance of three different spatial analysis models: Inverse Distance Weighted (IDW), Ordinary Kriging,­­ and Regularized Spline interpolation technique determine best fit model representing Peak Ground Acceleration (PGA) in West Java Province, Indonesia. The models are commonly used visualization, but have calculation methods. calculations were perfor...

In this study, a spatiotemporal estimation method based on Funk singular value decomposition (F-SVD) that considers the correlation of rainfall is proposed to improve estimations from gauge observations. Hourly data several flood events are selected verify by comparing with Inverse Distance Weighting (IDW) and Ordinary Kriging (OK) in Hanjiang basin, China. The results show (1) F-SVD has best p...

The purpose of this study is to identify the effect of Ordinary Kriging (OK) and Inverse Distance Weighted (IDW) estimation methods for the delineation of mineralized zones based on subsurface data using concentration–volume (C–V) multifractal modeling in the Dardevey iron ore deposit, NE Iran. Variograms and anisotropic ellipsoid were generated for the Fe distribution by the above estimation m...

In commodity-based industries, accurate sales forecast is very important for effective inventory management and decision-making. Univariate multivariate time series forecasting methods have been widely used to predict commodity sales. The purpose of this study make a comprehensive comparative analysis these two under the background forecast. Firstly, concept prediction its significance in field...

The combination of model predictive control (MPC) and learning methods has been gaining increasing attention as a tool to systems that may be difficult model. Using MPC function approximator in reinforcement (RL) is one approach reduce the reliance on accurate models. RL dependent exploration learn, currently, simple heuristics based random perturbations are most common. This paper considers va...