Tuning ANFIS Using a Simplified Sparrow Search Algorithm

The objective of this paper is to develop an enhanced metaheuristic algorithm train ANFIS on solving nonlinear regression problems. Firstly, we improved the sparrow search and then proposed a simplified (SSSA). Secondly, SSSA was hence employed parameters initial raw structure for problem. In order evaluate performance tuning (Adaptive neuro fuzzy inference system) ANFIS, use PSO, (gray wolf optimization) GWO basic SSA comparison. Finally, results simulations indicate that, training by reduce root mean squared error in more effective pattern. Therefore, technique increases way solve