International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 115 | Views: 162

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016 | Rating: 6.6 / 10


Rectification of Corrupted Neural Networks

Prakhar Dogra [2]


Abstract: Imagine if the data set provided for training an artificial neural network turns out to be corrupted. This paper presents a method that can be used to rectify the said neural network after it has been trained but on some corrupted data. In order to rectify the neural network we are provided with a replacement data set for the corrupted data. The proposed method uses the old weights of the corrupted neural network to determine the new weights of the rectified neural network model. Moreover, the proposed method is compared with the present typical method for solving the above stated problem.


Keywords: Neural network, error, corrupted, Cost function, weights


Edition: Volume 5 Issue 1, January 2016,


Pages: 932 - 934


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