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The valuation of anthropogenic soils using neural network (CROSBI ID 565052)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Knezić, Snježana ; Miloš, Boško The valuation of anthropogenic soils using neural network // Proceedings of ITI '94 / Ceric, V. ; Hljuz Dobric, V. (ur.). Zagreb: Univ. Computing Centre, 1994. str. 125-130

Podaci o odgovornosti

Knezić, Snježana ; Miloš, Boško

engleski

The valuation of anthropogenic soils using neural network

Describes the application of a neural network for the evaluation of anthropogenic soils. Soil suitability is defined as a function of the compatibility between the soil properties and physiological plant demand, and it is given by semantic estimation. In such a classification, it is not possible to define rigid class limits, so the principle of fuzzy set theory is applied. Since the training set represents a model for classification (soil valuation), it is very important to make it consistent and well-structured. Testing and application of a trained neural network for soil suitability classification for growing calciphobic fruit-trees showed that this method is attractive for creating a knowledge base as a part of a pedological decision support system.

anthropogenic soils; soil valuation; neural network; soil suitability classification; soil properties; physiological plant demand; semantic estimation; calciphobic fruit-trees; training set; fuzzy set theory; tree growing; knowledge base; pedological decision support system; horticulture

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

125-130.

1994.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of ITI '94

Ceric, V. ; Hljuz Dobric, V.

Zagreb: Univ. Computing Centre

Podaci o skupu

16th International Conference `Information Technology Interfaces'

predavanje

14.06.1994-17.06.1994

Pula, Hrvatska

Povezanost rada

Temeljne tehničke znanosti