A General Multilayer Perceptrons Feed Forward Neural Network Algorithm for Learning Capability

Authors

  • Dr. Akash Saxena Jitendra Joshi 1 Research Supervisor, Jayoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India 2 Ph.D. Scholar, Jayoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India

Abstract

A multi layer perceptrons feed forward neural network consists of layers of interconnected artificial neurons, all these are interchangeable. The number of layers in a neural network is the number of layers of perceptrons. The feed forward network is important artificial neural network structure [1]. Presently this is fast learning algorithm of perceptrons training and that’s algorithm for perceptrons learning capability. The overall computation approach of this algorithm use for exploring the perceptrons training and learning capability in multilayer network [2].
Keywords: Multilayer, Perceptrons, Feed Forward, Neural Network, Learning.

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Published

2014-08-30

How to Cite

Jitendra Joshi, D. A. S. (2014). A General Multilayer Perceptrons Feed Forward Neural Network Algorithm for Learning Capability. International Journal of Engineering Technology and Computer Research, 2(4). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/24

Issue

Vol. 2 No. 4 (2014)

Section

Articles

License

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.