Use of artificial neural networks to study Engineering factors for Applying different soil Amendments
Diia said mounir boulos;
Abstract
Two artificial neural network (ANN) models were used: the first to
predict some physico-engineering factors [bulk density, hydraulic
conductivity, infiltration rate, soil penetration resistance and available
water]. The second was used on sorghum produ
predict some physico-engineering factors [bulk density, hydraulic
conductivity, infiltration rate, soil penetration resistance and available
water]. The second was used on sorghum produ
Other data
| Title | Use of artificial neural networks to study Engineering factors for Applying different soil Amendments | Other Titles | استخدام شبكات عصبية اصطناعية لدراسة العوامل الهندسية لاستخدام اضافات تربة مختلفة | Authors | Diia said mounir boulos | Keywords | Use of artificial neural networks to study Engineering factors for Applying different soil Amendments | Issue Date | 2011 | Description | Two artificial neural network (ANN) models were used: the first to predict some physico-engineering factors [bulk density, hydraulic conductivity, infiltration rate, soil penetration resistance and available water]. The second was used on sorghum produ |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| 103616P3117.pdf | 79.84 kB | Adobe PDF | View/Open |
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