A Comparative Study of Fuzzy Neural Network and Multivariate Statistics in Discriminant Analysis
Download as PDF
DOI: 10.25236/ictmic.2020.007
Corresponding Author
Song Weicai
Abstract
Objective: Find out the effect of Fuzzy Neural Network (FNN) and Bayes method in discriminant analysis. Methods: Fuzzy Neural Network (ANN) and Bayes Method were used to discriminate and diagnose 250 cases of abdominal pain in nine diseases. Results: Fuzzy neural network (FNN) is superior to Bayes method in discriminating accuracy.
Keywords
Fuzzy neural network, Bayes discriminant, discriminant function, Multivariate statistics