Lung Cancer Classification using Fuzzy Hyperline Segment Neural Network (FHLSNN)

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..