Freeze-drying behaviour prediction of button mushrooms using artificial neural network and comparison with semi-empirical models
- 2 June 2018
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 31 (11) , 7257-7268
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Comparison of Freeze-Drying and Freeze-Drying Combined with Microwave Vacuum Drying Methods on Drying Kinetics and Rehydration Characteristics of Button Mushroom (Agaricus bisporus) SlicesFood and Bioprocess Technology, 2013
- ANN modeling for diffusivity of mushroom and vegetables using a fluidized bed dryerParticuology, 2013
- In vitro and in vivo antioxidant activity of ethanolic extract of white button mushroom (Agaricus bisporus)Food and Chemical Toxicology, 2013
- Freeze-drying modeling and monitoring using a new neuro-evolutive techniqueChemical Engineering Science, 2012
- Assessment of convection, hot‐air combined with microwave‐vacuum and freeze‐drying methods for mushrooms with regard to product qualityInternational Journal of Food Science and Technology, 2011
- Determination of freeze-drying behaviors of apples by artificial neural networkExpert Systems with Applications, 2010
- Drying kinetics and rehydration characteristics of microwave-vacuum and convective hot-air dried mushroomsJournal of Food Engineering, 2007
- Modeling Shrinkage and Density Changes During Microwave-Vacuum Drying of Button MushroomInternational Journal of Food Properties, 2006
- The Nonsteady State Modeling of Freeze Drying: In-Process Product Temperature and Moisture Content Mapping and Pharmaceutical Product Quality ApplicationsPharmaceutical Development and Technology, 2005
- Mathematical Modelling of the Primary and Secondary Drying Stages of Bulk Solution Freeze-Drying in Trays: Parameter Estimation and Model Discrimination by Comparison of Theoretical Results With Experimental DataDrying Technology, 1997