# Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparison-of-artificial-neural-network-ann-and-response-surface-methodology-rsm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sh. Youssefi,Zahra Emam‐Djomeh,Mohammad Mousavi |
| Citations | 160 |
| DOI | 10.1080/07373930902988247 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2152779201 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Mohammad Mousavi](https://scholariq.org/researchers/mohammad-mousavi/)

## Paper primary topic

- [Postharvest Quality and Shelf Life Management](https://scholariq.org/topics/postharvest-quality-and-shelf-life-management/)

## Paper topics

- [Postharvest Quality and Shelf Life Management](https://scholariq.org/topics/postharvest-quality-and-shelf-life-management/)
- [Plant Surface Properties and Treatments](https://scholariq.org/topics/plant-surface-properties-and-treatments/)
- [Food Drying and Modeling](https://scholariq.org/topics/food-drying-and-modeling/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.