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Neural Network ñ Comparing the Performances of the Training Functions for Predicting the Value of Specific Heat of Refrigerant in Vapor Absorption Refrigeration System

by Dheerendra Vikram Singh, Govind Maheshwari, Ritu Shrivastav, Durgesh Kumar Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 4
Year of Publication: 2011
Authors: Dheerendra Vikram Singh, Govind Maheshwari, Ritu Shrivastav, Durgesh Kumar Mishra
10.5120/2276-2944

Dheerendra Vikram Singh, Govind Maheshwari, Ritu Shrivastav, Durgesh Kumar Mishra . Neural Network ñ Comparing the Performances of the Training Functions for Predicting the Value of Specific Heat of Refrigerant in Vapor Absorption Refrigeration System. International Journal of Computer Applications. 18, 4 ( March 2011), 1-5. DOI=10.5120/2276-2944

@article{ 10.5120/2276-2944,
author = { Dheerendra Vikram Singh, Govind Maheshwari, Ritu Shrivastav, Durgesh Kumar Mishra },
title = { Neural Network ñ Comparing the Performances of the Training Functions for Predicting the Value of Specific Heat of Refrigerant in Vapor Absorption Refrigeration System },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 4 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number4/2276-2944/ },
doi = { 10.5120/2276-2944 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:23.873636+05:30
%A Dheerendra Vikram Singh
%A Govind Maheshwari
%A Ritu Shrivastav
%A Durgesh Kumar Mishra
%T Neural Network ñ Comparing the Performances of the Training Functions for Predicting the Value of Specific Heat of Refrigerant in Vapor Absorption Refrigeration System
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 4
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of this work is to compare performances of three training functions (TRAINBR, TRAINCGB and TRAINCGF) used for training neural network for predicting the value of the specific heat capacity of working fluid, LiBr-H2O, used in vapour absorption refrigeration system. The comparison is shown on the basis of percentage relative error, coefficient of multiple determination R-square, root mean square error and sum of the square due to error.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ANN (Artificial Neural Network) VAR (Vapour Absorption Refrigeration System) R2 (Coefficient of multiple determination) LiBr-H2O

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