In this paper, the dynamic load models are used as a set of input data, and the load flow results are used as a set of output data for the supervised machine learning algorithm. A linear ...

Equilibrium Valuation Model. Based on the DCF model, it can be stated that the current value of a stock ( P 0) is a function of its current FCF ( FCF 0), its future expected FCF growth rates ( G 1 ...

This paper aims to optimize the traditional XGBoost regression model by using the four-vector algorithm, so as to achieve the accurate prediction of road traffic flow. The main objective of the ...

Ridge regression, SGD predicted by the grid, was accumulated to train the model in DNN to forecast traffic flow. For scalability, non-linear information stored in spark RDD, and for expeditious ...

A flow chart for study population selection. TABLE 1. Table 1. ... In the regression-based models, the most important predictor was life satisfaction, and it increased the odds of a future depression ...