Open AccessA Fuzzy Based Classification – An Experimental Analysis
Author(s) -
S. Sharmila,
C. Dharuman,
P. Venkatesan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j1065.0881019
Subject(s) - soft computing , computer science , support vector machine , artificial neural network , artificial intelligence , fuzzy logic , machine learning , set (abstract data type) , pattern recognition (psychology) , data mining , programming language
Soft Computing has become popular in developing systems that encloses human expertise. Imaging technologies and clinical cytology has improved in disease diagnosis. Exact detection is extremely important for proper treatment and cure of disease. Two soft computing technique Neural Network and Support Vector Machine are used for classification of Caridotocography data set. This paper clearly explains the advantages of hybrid technique, when Fuzzy is combined with Neural Network and Support Vector Machine it is clearly noticed that there is an increase in accuracy of classification rate.