Author:
Belik A A,Bolotov A G,Shein E V,Kokoreva A A,Levin A A,Yu Patrushev V
Abstract
Abstract
The results of soil hydrophysical parameters modeling by neural networks are considered. Modern computing facilities using pedotransfer functions provide simplicity, speed and cheapening of obtaining soil characteristics by mathematical calculations. The initial data are the basic properties of the soil, which are stably determined. The analysis of errors in the calculation of hydrophysical parameter was conducted. Obtained neural networks most accurately reproduce hydrophysical parameters.
Reference12 articles.
1. Subsoil Compaction: The Intensity of Manifestation in Silty Clayey Calcic Pantofluvic Fluvisols of the Iğdır Region (Eastern Turkey);Simsek;Eurasian J. Soil Sci.,2019
2. The determination of the primary hydrophysical function of soil by the centrifuge method;Smagin;Eurasian Soil Sci.,1998
3. Impact of Strongly Swelling Hydrogels on Water-Holding Capacity of Light-Textured Soils;Smagin;Eurasian Soil Sci.,1994
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献