RENFIS-MA: A Recurrent Neuro-Fuzzy Inference System for Time Series Water Level Prediction

It is a well-known fact that improving time series prediction accuracy is an important and challenging issue. Exten-sive research has been conducted using soft-computing techniques to improve their prediction accuracy. In this paper, we propose a new methodology to predict time-series water-level, namely, recurrent error-based neuro-fuzzy inference system with moving average (RENFIS-MA). In partic...