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Title: | Modelling moisture sorption characteristics in dried acid casein using connectionist paradigm vis-à-vis classical methods. |
Other Titles: | Not Available |
Authors: | A.K. Sharma I.K. Sawhney |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Dairy Research Institute |
Published/ Complete Date: | 2013-04-09 |
Project Code: | ICAR-NDRI IRC Project: G-46 |
Keywords: | Buffalo Casein Connectionist models Milk Prediction Sorption characteristics Empirical sorption models |
Publisher: | Springer Nature Switzerland AG. |
Citation: | Sharma, A.K., Sawhney, I.K. Modelling moisture sorption characteristics in dried acid casein using connectionist paradigm vis-à-vis classical methods. J Food Sci Technol 52, 151–160 (2015). https://doi.org/10.1007/s13197-013-0981-3. |
Series/Report no.: | Not Available; |
Abstract/Description: | Six connectionist models are proposed to predict sorption (adsorption and desorption) characteristics at three temperatures, i.e., 25°, 35° and 45 °C over a water activity range of 0.11–0.97 in dried acid casein prepared from buffalo skim milk. Also, several conventional empirical sorption models were used for fitting the sorption data. The dataset comprised of 210 data points. The Error Back Propagation (EBP) learning algorithm with Bayesian Regularisation/Levenberg-Marquardt optimisation techniques as well as various combinations of connectionist network parameters was employed. The connectionist models predicted the adsorption characteristics with an accuracy ranging between 1.32 and 2.60 Root Mean Square percent error (RMS%) as compared to the best (among six conventional empirical models used) GAB model, which attained RMS% between 1.92 and 5.77. While for desorption characteristics, the connectionist models attained RMS% between 1.56 and 4.08 vis-à-vis the best (among six conventional empirical models used) GAB model with RMS% ranging between 1.4 and 5.01. Hence, the results revealed that the connectionist models outperformed the conventional empirical models and, generally, best described the experimental adsorption and desorption data for dried acid casein prepared from buffalo skim milk. |
Description: | Institute funded research project (IRC) |
ISSN: | 0022-1155 (Print) |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Food Science and Technology |
NAAS Rating: | 7.95 |
Volume No.: | 52(1) |
Page Number: | 151–160 |
Name of the Division/Regional Station: | Dairy Economics, Statistics and Management Division |
Source, DOI or any other URL: | https://doi.org/10.1007/s13197-013-0981-3 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/35128 |
Appears in Collections: | AS-NDRI-Publication |
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