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http://krishi.icar.gov.in/jspui/handle/123456789/36915
Title: | Intelligent modelling and analysis of moisture sorption isotherms in milk and pearl millet based weaning food ‘fortified Nutirmix’ |
Other Titles: | Not Available |
Authors: | A.K. Sharma I.K. Sawhney M. Lal |
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: | 2014-04-16 |
Project Code: | ICAR-NDRI IRC Project: G-46 |
Keywords: | Adaptive neuro-fuzzy inference system Connectionist models Fortified Nutrimix Moisture sorption isotherms Soft computing |
Publisher: | Drying Technology: An International Journal, Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106 |
Citation: | A. K. Sharma, I. K. Sawhney & M. Lal (2014) Intelligent Modeling and Analysis of Moisture Sorption Isotherms in Milk and Pearl Millet–Based Weaning Food “Fortified Nutrimix”, Drying Technology, 32:6, 728-741, DOI: 10.1080/07373937.2013.858265 |
Series/Report no.: | Not Available; |
Abstract/Description: | Soft computing–based intelligent models have been proposed to predict moisture sorption isotherms in milk and pearl millet–based weaning food, “fortified Nutrimix,” at four temperatures, 15, 25, 35, and 45°C over the water activity range 0.11–0.97. Connectionist and adaptive neuro-fuzzy inference system (ANFIS) models were investigated. A back-propagation algorithm with Bayesian regularization/Levenberg-Marquardt optimization mechanisms was employed to develop connectionist models. The ANFIS model was based on the Sugeno-type fuzzy inference system. In addition, several empirical models were explored for fitting the sorption data. The soft computing models, in particular, ANFIS, outperformed the conventional sorption models for predicting isotherms in Nutrimix. |
Description: | IRC Project No. G-46, ICAR-NDRI, Karnal |
ISSN: | 0737-3937 (Print) |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Drying Technology |
NAAS Rating: | 8.99 |
Volume No.: | 32(6) |
Page Number: | 728-741 |
Name of the Division/Regional Station: | Dairy Economics, Statistics and Management Division |
Source, DOI or any other URL: | https://doi.org/10.1080/07373937.2013.858265 https://www.tandfonline.com/doi/abs/10.1080/07373937.2013.858265 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/36915 |
Appears in Collections: | AS-NDRI-Publication |
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