Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

Table 7 Information on the ANFIS structure

ANFIS structure	Number
Number of nodes	371
Number of linear parameters	180
Number of nonlinear parameters	320
Total number of parameters	500
Number of training data pairs	628
Number of checking data pairs	0
Number of fuzzy rules	20

ISSN: 1472-6947