Evaluation of multilayer perceptron neural networks and adaptive neuro‐fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey-Reference-Cited by-同舟云学术

Evaluation of multilayer perceptron neural networks and adaptive neuro‐fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey

Published:2021-06-04 Issue:15 Volume:101 Page:6514-6524
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Chasiotis Vasileios¹,Nadi Fatemeh²^ORCID,Filios Andronikos¹

Affiliation:

1. Laboratory of Thermo Fluid Systems (LTFS), Department of Mechanical Engineering University of West Attica Egaleo Greece

2. Department of Agricultural Machinery Mechanics, Azadshahr Branch Islamic Azad University Azadshahr Iran

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.11323

Reference30 articles.

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2. Clinical research Antiviral activity of borage ( Echium amoenum )

3. Main phenolic compound of petals of Echium amoenum Fisch. and CA Mey., a famous medicinal plant of Iran;Mehrabani M;DARU J Pharm Sci,2005

4. Application of Artificial Neural Network (ANN) in drying kinetics analysis for potato cubes;Azadbakht M;Carpathian J Food Sci Technol,2018

5. An artificial intelligence approach for modeling volume and fresh weight of callus – A case study of cumin (Cuminum cyminum L.)

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