文献
J-GLOBAL ID:201702230661347530
整理番号:17A1382829
異なる土地利用下の土壌におけるAzotobacteria個体群の予測のための人工神経回路網及び多変量回帰モデルの比較【Powered by NICT】
Comparison of artificial neural network and multivariate regression models for prediction of Azotobacteria population in soil under different land uses
著者 (4件):
Ebrahimi Mitra
(Department of Soil Science, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran)
,
Safari Sinegani Ali Akbar
(Department of Soil Science, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran)
,
Sarikhani Mohammad Reza
(Department of Soil Science, Faculty of Agriculture, University of Tabriz, Iran)
,
Mohammadi Seyed Abolghasem
(Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Iran)
資料名:
Computers and Electronics in Agriculture
(Computers and Electronics in Agriculture)
巻:
140
ページ:
409-421
発行年:
2017年
JST資料番号:
T0337A
ISSN:
0168-1699
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)