The prediction and generalization capabilities of the models are compared.
The prediction and generalization capability of artificial neural networks (ANN) had been investigated in this paper.
Moreover, sensitivity analysis of both models also proves efficiency of the prediction capability and generalization of the data.
For the limitations on representativeness of the study subjects and generalization of our findings exist.
Clearly, missing data have implications for representativeness and generalizations of the 2-year outcome results.
Prediction performance and generalization ability of neural network depends on training data as well as input parameters.
For the time being, generalization of these approaches beyond the realm of fundamental research remains uncertain.
Since we tested different models only in a single forward prediction, the generalization of our results is not straightforward.
KronRLS as introduced in [4] can be seen as a generalization of these models for the prediction of continuous binding values.
Moreover, the SVR POLY demonstrated high generalization ability, so we propose that it should be used as a reliable tool for the prediction of consumers' heat load in DHS (district heating systems).
