Soft computing single hidden layer models for shelf life prediction of burfi

Goyal Sumit and Goyal Gyanendra Kumar
Additional contact information
Goyal Sumit: National Dairy Research Institute
Goyal Gyanendra Kumar: National Dairy Research Institute

Russian Journal of Agricultural and Socio-Economic Sciences, 2012, vol. 5, issue 5, 28-32

Abstract: Burfi is an extremely popular sweetmeat, which is prepared by desiccating the standardized water buffalo milk. Soft computing feedforward single layer models were developed for predicting the shelf life of burfi stored at 30ºC. The data of the product relating to moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value were used as input variables, and the overall acceptability score as output variable. The results showed excellent agreement between the experimental and the predicted data, suggesting that the developed soft computing model can alternatively be used for predicting the shelf life of burfi.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://cyberleninka.ru/article/n/soft-computing-si ... -prediction-of-burfi

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:scn:031261:14030118

Access Statistics for this article

More articles in Russian Journal of Agricultural and Socio-Economic Sciences from CyberLeninka, Редакция журнала Russian Journal of Agricultural and Socio-Economic Sciences
Bibliographic data for series maintained by CyberLeninka ().