Programme: TELSAT 3
Contract: T3/02/610
Start - End: 30 June 1995 - 30 October 1995
Context and objectives
Artificial neural networks (ANN) are used with success to solve classification problems wherein 1) - the underlying statistical distributions of the output data are unknown and 2) - a considerable amount of data is to be processed. The study aims to evaluate the performance of ANN for the estimation of land degradation as a function of factors of influence, such as population density, soil type, transport infrastructure.
Project outcome
Expected scientific results
A crust risk model and map was produced via ANN. The accuracy was thematically and spatially higher than the results obtained through the simple linear regression method.
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