/methodology/approach: In this paper, a PSO-GRNN model is proposed to predict the railway freight volume. In this model, GRNN is applied to … carry out the nonlinear regression analysis and output the prediction value, PSO algorithm is applied to optimize the GRNN … paper. And PSO-GRNN model constructed in this paper are applied to predict the railway freight volume from 2007 to 2011 …

network (GRNN) with discrete and relative monetary fundamentals. Based on a random validation set, the optimal smoothing … parameter in the GRNN is attained and subsequently utilized in the optimal GRNN forecasting model for one-step-ahead out … the overall forecasting performance of the GRNN forecasting models underperformed the random walk benchmark model, the …

/methodology/approach: In this paper, a PSO-GRNN model is proposed to predict the railway freight volume. In this model, GRNN is applied to … carry out the nonlinear regression analysis and output the prediction value, PSO algorithm is applied to optimize the GRNN … paper. And PSO-GRNN model constructed in this paper are applied to predict the railway freight volume from 2007 to 2011 …

neural network (GRNN) to model both linear and nonlinear simultaneously. The models were compared with the base ARIMA model … outperformed both the individual ARIMA model and the ARIMA-GRNN hybrid. However, the ARIMA model also showed better performance … than the ARIMA-GRNN hybrid, highlighting its strong competitiveness compared to the ARIMA-ANN-based ELM model. The hybrid …

Various Artificial Neural Network techniques such as Generalized Regression Neural Networks (GRNN), Feed Forward Neural … (MLR). The results indicated that GRNN outperforms all other methods in modeling monthly water consumptions. Copyright …