The use of artificial neural network to predict exergetic performance of spray drying process: A preliminary study

Author:

Aghbashlo Mortaza,Mobli Hossien,Rafiee Shahin,Madadlou Ashkan

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference43 articles.

1. Meta learning evolutionary artificial neural networks;Abraham;Neurocomputing,2004

2. Abraham, A., Nath, B., 1999. Artificial neural networks for intelligent real time power quality monitoring systems. In: Isreb, M. (Ed.), Proc. First Int. Pow. Energy Conf., Australia, December 1999, 2000, ISBN: 0732 620 945.

3. Energy and exergy analyses of thin layer drying of potato slices in a semi-industrial continuous band dryer;Aghbashlo;Drying Technology,2008

4. Performance analysis of drying of carrot slices in a semi-industrial continuous band dryer;Aghbashlo;Journal of Food Engineering,2009

5. Optimization of an artificial neural network topology for predicting drying kinetics of carrot cubes using combined response surface and genetic algorithm;Aghbashlo;Drying Technology,2011

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