Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation

An Intelligent System for Prioritising Emergency Services Provided for People injured in Road Traffic Accidents

“…MLP is the most commonly used static network, in which the inputs along with the desired output are presented to the network, and the weights are adjusted so that the network produces the desired output (Moghaddamnia et al, 2009). The MLP network has three layers: input layer, a hidden layer and an output layer (Hagan et al, 1996).…”

Comparison of Neural Network Models in the Estimation of the Performance of Solar Still Under Jordanian Climate

“…The models to be used in the ANN include nonlinear autoregressive exogenous model (NARX), Elman and feedforward network. A brief introduction to the three neural network models to be used in this study is found in [17].…”

Artificial Intelligence Techniques in Solar Energy Applications

“…According to normalized root mean square error (NRMSE) and the normalized mean bias error (NMBE) computation, the meteorological estimator carries out satisfactory estimation of the meteorological parameters. Moghaddamnia et al (2009) estimated daily solar radiation from meteorological data sets with local linear regression (LLR), multi-layer perceptron (MLP), Elman, NNARX (neural network auto-regressive model with exogenous inputs) and adaptive neuro-fuzzy inference system (ANFIS). They used five relevant variables for estimating the daily solar radiation (extraterrestrial radiation, daily maximum temperature, daily mean temperature, precipitation and wind velocity).…”