Classification of Robotic Data using Artificial Neural Network

Authors

  • Suman Kalyan Bera  Department of Computer Applications, new horizon college, Bengaluru, Karnataka, India
  • Tenzin Dadhul  Department of Computer Applications, new horizon college, Bengaluru, Karnataka, India
  • Vishwanath C R  Department of Computer Applications, new horizon college, Bengaluru, Karnataka, India

Keywords:

Data mining, Artificial Neural Network, back propagation neural network, time series data, classification

Abstract

As time arrangement information are normal in the field of science and trade, time arrangement information examination has an essential part in these territories for separating data from accessible information. This paper exhibits the utilization of Artificial Neural Networks (ANN) for examining enormous measure of time arrangement information gathered by sensors mounted on a robot exploring in a reenacted domain. The Artificial Neural Network framework utilizing back engendering learning calculation ordered diverse situations experienced by the robot utilizing the information gathered by sensors.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Suman Kalyan Bera, Tenzin Dadhul, Vishwanath C R, " Classification of Robotic Data using Artificial Neural Network, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1860-1865, March-April-2018.