Training ANFIS using The Whale Optimization Algorithm
AbstractNowadays, it is tried to predict the future events through the data. Practical areas such as deep learning are primarily trying to regulate data, and then these data are used for estimation. There are many algorithms used in this area. Besides these algorithms, artificial neural networks are also widely used in this field. ANFIS is a special network that uses artificial neural network and fuzzy classifier. It computes the output by distributing the input data blurred by the membership functions with the fuzzy rules on the network. Some parameter values need to be set in ANFIS. In this study, ANFIS networks will be trained with the Whale Optimization Algorithm, one of the current swarm-based meta-heuristic algorithms to find suitable parameter values and evaluation will be made on sample problems.