Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization

Rock and Mineral Analysis > 2007 > 26(1): 33-35.

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization[J]. Rock and Mineral Analysis, 2007, 26(1): 33-35.

Citation:

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization[J]. Rock and Mineral Analysis, 2007, 26(1): 33-35.

Citation:

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization[J]. Rock and Mineral Analysis, 2007, 26(1): 33-35.

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Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization

1.
National Research Center for Geoanalysis, Beijing 100037, China
2.
3.
Tianjin Geological Survey, Tianjin 300191, China

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Received Date: April 25, 2006
Revised Date: June 04, 2006

Abstract

ABSTRACT

Soil salinization is not only an ecological problem but also a matter concerning resource development and utilization. The investigation of soil salinization is the precondition to make good use of soil. Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.
- soil,
- salinization

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Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization

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