The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we the modified exponentially weighted moving average - (MMEM), a new for observing changes in mean. Average run length, standard deviation of and median length can be used examine effectiveness detecting Shewhart, Moving (MA), Modified Exponentially Weighted (MEWMA), Mixed (MMME) char...

As training data rapid growth, large-scale parallel training with multi-GPUs cluster is widely applied in the neural network model learning currently. We present a new approach that applies exponential moving average method in large-scale parallel training of neural network model. It is a non-interference strategy that the exponential moving average model is not broadcasted to distributed worke...

The purpose of this study is to compare the 3 forecasting methods Linear Regression, Exponential Smoothing and Weighted Moving Average based on smallest error value or close zero. From results study, Regression method was obtained as correct with a predicted 502 students, MAD 27.83, MSE 1152.1 MAPE 8.1%. Tracking Signal moves between 1 -1, movement within control limits tracking signal standard...

Forecasting of the Renewable Energy plays a major role in optimal decision formula for government and industrial sector in Bangladesh. This research is based on time series modeling with special application to solar energy data for Dhaka city. Three families of time series models namely, the autoregressive integrated moving average models, Holt’s linear exponential smoothing, and the autoregres...