
Hybrid Neuro-Fuzzy Classification Algorithm for Social Network
Author(s) -
Anu Sharma,
M.K Sharma,
R.K Dwivedi
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8537.088619
Subject(s) - computer science , matlab , neuro fuzzy , artificial neural network , fuzzy logic , data mining , artificial intelligence , friendship , machine learning , algorithm , fuzzy control system , psychology , social psychology , operating system
People tend to build and maintain their friendship relying on SNS nowadays. Thus, the problem of how to organize the social network accurately and automatically. In this paper, a hybrid neuro-fuzzy approach is used. . Many aspect impact the error values like input/output, membership functions, the training data arrays, and the number of epochs needed to train the model. This paper is based on hybrid Neuro-Fuzzy concept for testing the link prediction for facebook data. We use Matlab to calculate average testing Error, View Generation Rule, Output Surface.