Open AccessLung Cancer Classification using Fuzzy Hyperline Segment Neural Network (FHLSNN)
Publication year - 2022
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2022/021122022
Subject(s) - artificial intelligence , artificial neural network , neuro fuzzy , hypersphere , computer science , fuzzy logic , fuzzy classification , pattern recognition (psychology) , time delay neural network , classifier (uml) , fuzzy set , machine learning , fuzzy control system
Pattern recognition has become more and more popular as it induces attractive attention coming from wider areas. This paper describes Fuzzy Hyperline Segment Neural Network (FHLSNN) with its learning algorithm. The FHLSNN is a supervised learning neural network classifier that utilizes fuzzy sets as pattern classes. Here each fuzzy set is a union of fuzzy set hyperline segments. The performance of Fuzzy Hyperline Segment Neural Network (FHLSNN) [1] is compared with other fuzzy neural networks like Fuzzy Hypersphere Neural Network (FHSNN) [2], proposed by Kulkarni et. al..