Back Propagation Algorithm for Computerized Pape Evaluation using Neural Network

Authors

  • Lakshya Aggarwal  Amity School of Engineering and Technology, Amity University, Uttar Pradesh Greater Noida, India
  • Biswa Mohan Sahoo  Amity School of Engineering and Technology, Amity University, Uttar Pradesh Greater Noida, India

Keywords:

Back Propagation Algorithm, Neural Network, Image Processing, Machine Learning.

Abstract

This research is focused on introducing a hypothetical approach to the field of computerized paper evaluation. This would help in developing a better and efficient way of developing an automatic evaluation of examinations. The usage of the traditional evaluation system makes use of pen and paper based technique. This way of evaluation is not as efficient as there are a number of factors that might affect the unbiased evaluation of the examination by the examiner. Hence using an automatic emotion less machine would help in building an evaluation system that is free of any biasness and is much quicker in response. Hence the focus is the present a better approach to the evaluation of the exams using the machine learning techniques with the help of neural networks and back propagation algorithms.

References

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Lakshya Aggarwal, Biswa Mohan Sahoo, " Back Propagation Algorithm for Computerized Pape Evaluation using Neural Network, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.719-723, March-April-2018.