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Modified Backpropagation with Added White Gaussian Noise in Weighted Sum for Convergence Improvement
2018
Procedia Computer Science
The impact of the noise injection in backpropagation is studied since last two decades. In this manuscript, a brief review is done on noise injection techniques used in the backpropagation. Here, the modified backpropagation algorithm is proposed, in which the white Gaussian noise is added in the weighted sum entity of the backpropagation. The experimentation is carried out on different standard benchmark problems such as 2 bit parity and iris dataset. It is observed that the proposed modified
doi:10.1016/j.procs.2018.10.401
fatcat:5qc2qnk6cjgijn5ls7aw7xepbi