On the Relationship between Generalization Error and Sample Complexity for Radial Basis Functions and Incremental Training Algorithm (cont.)
Insights of neural network training: incremental training algorithm for choosing appropriate network size
Discussions with real application: data pre-analysis before neural network training, generalization error bound estimation, and performance test on electrical demand data from NU�
Concluding remarks and future investigations