... prediction with a Generalized Regression Neural Network (GRNN) for prediction error correction. E-NLARNN aggregates forecasts from multiple optimized NLARNNs to improve robustness in crop yield prediction. It combines prediction from multiple hyperparameter-tuned NLARNNs. GRNN models the residual errors...

... in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers. Findings The mean prediction accuracy varied with the various...