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: 124 | Views: 237 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 7 Issue 5, May 2018 | Rating: 6.7 / 10


Optimization of Number of Hidden Neurons in Neural Networks

Sarika Shukla | Jameel Ahamad


Abstract: This paper carries study of Neural Network and analyses the effects of number of neurons in the hidden layer of the network on the output. This paper also contains study of conventional optimization methods for ascertaining the number of hidden neurons and analyses of neural network performance. Implementation of optimization criterion based on estimation of Signal to Noise Ratio Figure, Sum Squared Error and Delta Value method for ascertaining the number of hidden neurons and analyses of neural network performance. Comparison of results by using the methods as mentioned in the above points is presented here.


Keywords: Neural Network, Signal to Noise Ratio Figure, Sum Squared Error, Delta Value method


Edition: Volume 7 Issue 5, May 2018,


Pages: 1031 - 1033





Rate this Article


Select Rating (Lowest: 1, Highest: 10)

5

Your Comments

Characters: 0

Your Full Name:


Your Valid Email Address:


Verification Code will appear in 2 Seconds ... Wait

Top