Use of Artificial Neural Network to Identify Fake Profiles on social media

Aishwarya; Bhagyavanti Biradar; Biradar Aishwarya Ravindra; Akshata Patil; Prof. Masrath Begum

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Use of Artificial Neural Network to Identify Fake Profiles on social media

Aishwarya Bhagyavanti Biradar Biradar Aishwarya Ravindra Akshata Patil Prof. Masrath Begum

Subject area: Science,Engineering and Technology · Area of research: Computer Science and Engineering

Abstract

In this project, we use machine learning, namely an artificial neural network to determine what are the chances that Facebook friend request is authentic or not. We also outline the classes and libraries involved. Furthermore, we discuss the sigmoid function and how the weights are determined and used. Finally, we consider the parameters of the social network page which are utmost important in the provided solution.

How to cite this paper

Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 538-542

Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022

Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum (2022). Use of Artificial Neural Network to Identify Fake Profiles on social media. Iconic Research And Engineering Journals, 6(1).

Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum "Use of Artificial Neural Network to Identify Fake Profiles on social media" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022.

@article{1703703,
      author = {Aishwarya, Bhagyavanti Biradar, Biradar Aishwarya Ravindra, Akshata Patil, Prof. Masrath Begum},
      title = {Use of Artificial Neural Network to Identify Fake Profiles on social media},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {1},
      pages = {538-542},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703703.pdf},
      abstract = {In this project, we use machine learning, namely an artificial neural network to determine what are the chances that Facebook friend request is authentic or not. We also outline the classes and libraries involved. Furthermore, we discuss the sigmoid function and how the weights are determined and used. Finally, we consider the parameters of the social network page which are utmost important in the provided solution.},
      month = {July},
  }