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.
2005
Volume 8
Issue 1/volume8
Volume 8
Issue 1/volume8
Topic:
Environmental Development
ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES
Copyright © Wydawnictwo Uniwersytetu Przyrodniczego we Wroclawiu, ISSN 1505-0297
Licznar P. 2005. ARTIFICIAL NEURAL NETWORKS USE FOR RAINFALL-RUNOFF EROSIVITY FACTOR ESTIMATION, EJPAU 8(1/volume8), #04.
Available Online: http://www.ejpau.media.pl/volume8/issue1/volume8/art-04.html
Available Online: http://www.ejpau.media.pl/volume8/issue1/volume8/art-04.html
ARTIFICIAL NEURAL NETWORKS USE FOR RAINFALL-RUNOFF EROSIVITY FACTOR ESTIMATION
Paweł Licznar
Institute of Building and Landscape Architecture,
Agricultural University of Wroclaw, Poland
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Key words:
Artificial neural networks, rainfall-runoff erosivity factor, estimation.
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Paweł Licznar
Institute of Building and Landscape Architecture,
Agricultural University of Wroclaw, Poland
Plac Gruwaldzki 24, 50-363 Wrocław, Poland
Phone (048)-71-3482-850
email: licznarp@ozi.ar.wroc.pl
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.