Scholars frequently use ex post evaluation metrics such as the Mean Absolute Percentage Error (MAPE) to estimate forecast accuracy. However, ante are essential know whether a given forecasting model is suitable for variable irrespective of outcome evaluations. The measures help us ensure that accurate, not by chance. current study presents Posterior Variance Test (PVT), which can serve an measu...

in this study two intelligent systems, based on adaptive neuro-fuzzy inference systems (anfis) and artificial neural networks (anns) of forecasting municipal solid wastes (msw) generation has been proposed. anfis and anns as an intelligent tool compared with together was used to monthly prediction of msw generated in tehran. monthly amount of solid wastes (sw), total monthly precipitation, mont...

The COVID-19 pandemic has an impact on the economic sector, including agricultural sector. This research will look at sector's condition, especially welfare of farmers represented in value Framers' Term Trade (FTT) during and forecast FTT for September 2020. uses Farmers' data obtained from Indonesian Statistics Bureau (BPS). were used January 2016 to August Single Exponential Smoothing (SES), ...

The estimation of the daily average global solar radiation is important since it increases cost efficiency power plant, especially in developing countries. Therefore, this study aims at a multi layer perceptron artificial neural network (ANN) to estimate city Surabaya. To guide study, seven (7) available meteorological parameters and number month was applied as input network. ANN trained using ...

Due to the multifactorial and non-linear nature of gold market, it is difficult predict price. The price affected by many external factors, such as market environment, economic crises, oil increases, tax advantages interest rates. Therefore, multivariate models can better than univariate models. This study investigated effects price, crude exchange rate index, stock indicators between 2001 2021...

As wearable technology (WT) has evolved, devices have developed the ability to track a range of physiological variables. These include maximal aerobic capacity (VO2max) and lactate threshold (LT). With WT quickly growing in popularity, independent evaluation these is important determine appropriate use-cases for devices. Therefore, purpose this study was validity producing estimates VO2max LT a...