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

How to Cite

Kaur, J., Singh, D. M., Bains, P. S., & Singh, G. (2013). Analysis of Multi layer Perceptron Network. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 7(2), 600–606. https://doi.org/10.24297/ijct.v7i2.3462

Issue

Vol. 7 No. 2 (2013)

Section

Research Articles
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