Algorithms of adaptive neuro-fuzzy networks ANFIS for solving problems of forecasting and assessing the surface quality of wood boards

The article is devoted to the study of the features of ANFIS adaptive neuro-fuzzy network algorithms for solving problems of forecasting and assessing the surface quality of wood boards. It is noted that a number of studies have demonstrated the effectiveness of ANFIS in predicting the quality parameters of wood boards. The authors analyzes the main components of ANFIS, highlights the advantages of ANFIS for predicting the surface of wood boards. In conclusion, the authors concludes that the use of ANFIS to solve problems of forecasting and evaluating the surface quality of wood boards is a promising direction that combines accuracy, flexibility and resistance to uncertainty.