Some Remarks on ANFIS for Forest Fires Prediction

Abstract

In this paper, we introduce a variant of the Adaptive Network-based Fuzzy Inference System (ANFIS). The proposed variant does not use backpropagation and grid partitioning. Scatter partitioning is employed by complementing the least-squares method with Tikhonov regularization, both in standard and fractional version. The application example is the prediction of the burnt area in forest fires. We used two publicly available datasets for the numerical experiments. The results encourage further investigations.