Paper Title
Machine Learning-Based Identification of Nonlinear Systems (PH in a Neutralizing Process) Using Anfis Architecture: An Adaptive Neural Fuzzy Inference System

Abstract
We will provide an identification method in this work that uses an ANFIS (Adaptive Neural Fuzzy Inference System)-type Neuro-Fuzzy model as its fundamental building block. The recursive least squares approach is used to modify the ANFIS model's parameters. In order to determine the pH during a neutralization process, the ANFIS structure is finally used for the simulation. Combining the benefits of fuzzy inference systems and neural networks, neuro fuzzy modeling is a practical method that is based on Fuzzy Inference System (FIS) included in an adaptive neural network. Keywords - ANN, ANFIS, FIS, Identification, pH Neutralization Process, Recursive Least Square Method.