Hybrid Neuro-Fuzzy Classification Algorithm for Social Network | Zendy

Anu Sharma | Zendy; Manish Sharma | Zendy; R.K Dwivedi | Zendy

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Hybrid Neuro-Fuzzy Classification Algorithm for Social Network

Author(s) -

Anu Sharma,

Manish 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 , fuzzy logic , neuro fuzzy , artificial intelligence , data mining , artificial neural network , machine learning , friendship , 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.

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