Analytical Study of Neural Network Techniques: SOM, MLP and Classifier-A Survey

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3

Abstract

 Abstract: This paper focuses on the various neural network techniques including Multilayer perceptron (MLP) neural network, classifier and self-organizing maps (SOMs). Various aspects of neural network techniques are mentioned in this paper along with the advantages and drawbacks. The neural network models are trained with measured values of the field strength at arbitrary points. The back propagation training algorithm is used for the learning process in MLP. The mechanism of supervised and unsupervised learning are also specified.

Authors and Affiliations

Sonali B. Wankhede

Keywords

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  • EP ID EP105163
  • DOI 10.9790/0661-16378692
  • Views 115
  • Downloads 0

How To Cite

Sonali B. Wankhede (2014).  Analytical Study of Neural Network Techniques: SOM, MLP and Classifier-A Survey. IOSR Journals (IOSR Journal of Computer Engineering), 16(3), 86-92. https://europub.co.uk./articles/-A-105163