Comparison of ANN and ANFIS modeling for predicting drying kinetics of <i>Stevia rebaudiana</i> leaves in a hot-air dryer and characterization of dried powder-Reference-Cited by-同舟云学术

Comparison of ANN and ANFIS modeling for predicting drying kinetics of Stevia rebaudiana leaves in a hot-air dryer and characterization of dried powder

Published:2023-11-27 Issue:2 Volume:26 Page:3356-3375
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Kalsi Baldev Singh¹^ORCID,Singh Sandhya¹^ORCID,Alam Mohammed Shafiq¹^ORCID,Sidhu Gagandeep Kaur¹^ORCID

Affiliation:

1. Department of Processing & Food Engineering, Punjab Agricultural University, Ludhiana, Punjab, India

Funder

any specific grant from funding agencies in the public

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2023.2283380

Reference63 articles.

1. Mathematical and intelligent modeling of stevia ( Stevia Rebaudiana ) leaves drying in an infrared‐assisted continuous hybrid solar dryer

2. Microwave Drying Modelling of Stevia rebaudiana Leaves Using Artificial Neural Network and Its Effect on Color and Biochemical Attributes

3. Solar drying of Stevia (Rebaudiana Bertoni) leaves using direct and indirect technologies

4. The impact of solar convective drying on kinetics, bioactive compounds and microstructure of stevia leaves

5. Conventional method and microwave drying kinetics of Laurus nobilis leaves: effects on phenolic compounds and antioxidant activity

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