Analysis of Multi layer Perceptron Network

Authors

  • Jatinder Kaur Guru Gobind Singh College of Modern Technology, Kharar
  • Dr. Mandeep Singh Chandigarh University, Gharuan
  • Pardeep Singh Bains Chandigarh University, Gharuan
  • Gagandeep Singh Punjabi University, Mohali

DOI:

https://doi.org/10.24297/ijct.v7i2.3462

Keywords:

MLP, Tansig, Perceptron, ANN, MSE

Abstract

In this paper, we introduce the multilayer Perceptron (feedforward) neural network (MLPs) and used it for a function approximation. For the training of MLP, we have used back propagation algorithm principle. The main purpose of this paper lies in changing the number of hidden layers of MLP for achieving minimum value of mean square error.

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Author Biographies

  • Jatinder Kaur, Guru Gobind Singh College of Modern Technology, Kharar
    Assistant Professor, Department of Electronics and Communication Engineering
  • Dr. Mandeep Singh, Chandigarh University, Gharuan
    Associate Professor
  • Pardeep Singh Bains, Chandigarh University, Gharuan
    Assistant Professor
  • Gagandeep Singh, Punjabi University, Mohali
    Research Scholar

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Published

2013-06-05

Issue

Vol. 7 No. 2 (2013)

Section

Research Articles

How to Cite

Analysis of Multi layer Perceptron Network. (2013). INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 7(2), 600-606. https://doi.org/10.24297/ijct.v7i2.3462

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