Natural gas prices show a non-linear, non-stationary, and time variant behaviour. In this study, we build a regression function for daily natural gas prices using ε-SVR and v-SVR and experiment with different kernels. We compare the proposed methods with artificial neural networks, RBF networks...

This paper presents an adaptive RBF network for the on-line identification and tracking of rapidly-changing time-varying nonlinear systems. The proposed algorithm is capable of maintaining the accuracy of learned patterns even when a large number of aged patterns are replaced by new ones through...