Prediction of mass transfer kinetics during osmotic dehydration of apples using neural networks

By C. Ochoa-Martínez, A. Ayala-Aponte. 2007

56 citations recorded by the source corpus.

Subfields: Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/4957c3e2998fc541e560ea77d6f143dbbf320f5c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Plant Science

1. S. Razavi
2. Mohebbat Mohebbi
3. M. Fathi

In Soil Science

1. S. Razavi
2. Mohebbat Mohebbi
3. M. Fathi

Citations in the corpus

• Artificial neural network model of pork meat cubes osmotic dehydratation (2013, methodology): “Due to the complexity of the osmotic dehydration process, several authors have recommended the use of ANN for modeling mass transfer kinetics during the OD process [19,28,33].”
• Application of Image Analysis and Artificial Neural Network to Predict Mass Transfer Kinetics and Color Changes of Osmotically Dehydrated Kiwifruit (2011, methodology): “Since almost all of the problems in neural network modeling could be solved with one hidden layer (Chen et al. 2001; Kashaninejad et al. 2008; Mohebbi et al. 2007; Movagharnejad and Nikzad 2007; Ochoa-Martínez and Ayala-Apaonte 2007; Mitra et al. 2009), an ANN with three layers was used in this rese”