Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.
2017
Volume 20
Issue 1/volume20
Topic:
Agricultural Engineering
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Bakhshipour A. , Zare D. 2017. A GENERALIZED ARTIFICIAL NEURAL NETWORK MODEL FOR DEEP-BED DRYING OF PADDY
DOI:10.30825/5.ejpau.23.2017.20.1, EJPAU 20(1/volume20), #05.
Available Online: http://www.ejpau.media.pl/volume20/issue1/volume20/art-05.html

A GENERALIZED ARTIFICIAL NEURAL NETWORK MODEL FOR DEEP-BED DRYING OF PADDY
DOI:10.30825/5.EJPAU.23.2017.20.1

Adel Bakhshipour, Dariush Zare
Biosystems Engineering Department, Faculty of Agriculture, Shiraz University, Iran

 

ABSTRACT

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Key words: Deep bed, Artificial Neural Networks, Modeling, Paddy drying. Error: articles/volume20/issue1/volume20/art-05.html is not uploaded to the server


Adel Bakhshipour
Biosystems Engineering Department, Faculty of Agriculture, Shiraz University, Iran
Former Ph.D. Student

Dariush Zare
Biosystems Engineering Department, Faculty of Agriculture, Shiraz University, Iran
P.O. Box 7144165186, Shiraz, Iran
Phone: +98 711 6138192; Fax: +98 711 2286104
email: dzare@shirazu.ac.ir

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.