Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran
سال
: 2011شناسه الکترونیک: 10.1080/03650341003631400
کالکشن
:
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آمار بازدید
Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran
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| contributor author | Shamsollah Ayoubi | |
| contributor author | Kanwar Lal Sahrawat | |
| date accessioned | 2020-03-11T03:27:47Z | |
| date available | 2020-03-11T03:27:47Z | |
| date issued | 2011 | |
| identifier other | eoP_oNz2pK2AZTu1j4Tpv0R0TTnum2H6v3YB7mHOa6oO_Dg60f.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/400902 | |
| format | general | |
| language | English | |
| title | Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 2700666 | |
| identifier doi | 10.1080/03650341003631400 | |
| journal title | Archives of Agronomy and Soil Science | |
| coverage | Academic | |
| pages | 549-565 | |
| journal volume | 57 | |
| journal issue | 5 | |
| filesize | 776245 | |
| citations | 3 |