Research Article
Learning Rates in Generalized Neuron Model for Short Term Load Forecasting
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 45 - Issue 24 |
| Published: May 2012 |
| Authors: Chandragiri Radha Charan, K.Srinivas, K. Pritam Satsangi |
10.5120/7114-9558
|
Chandragiri Radha Charan, K.Srinivas, K. Pritam Satsangi . Learning Rates in Generalized Neuron Model for Short Term Load Forecasting. International Journal of Computer Applications. 45, 24 (May 2012), 28-32. DOI=10.5120/7114-9558
@article{ 10.5120/7114-9558,
author = { Chandragiri Radha Charan,K.Srinivas,K. Pritam Satsangi },
title = { Learning Rates in Generalized Neuron Model for Short Term Load Forecasting },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 45 },
number = { 24 },
pages = { 28-32 },
doi = { 10.5120/7114-9558 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Chandragiri Radha Charan
%A K.Srinivas
%A K. Pritam Satsangi
%T Learning Rates in Generalized Neuron Model for Short Term Load Forecasting%T
%J International Journal of Computer Applications
%V 45
%N 24
%P 28-32
%R 10.5120/7114-9558
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, Short Term Load Forecasting (STLF) can be applied using Generalized Neuron Model (GNM) for under sum square error gradient function for different learning rates,? with various training epochs and constant leaning rate,? by having 30,000 training epochs. The simulation results were the root mean square testing error, maximum testing error, minimum testing error were predicted.
References
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