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Autori: Knezić, Snježana; Miloš, Boško
Naslov: The valuation of anthropogenic soils using neural network
Izvornik: Proceedings of ITI '94 / Ceric, V. ; Hljuz Dobric, V. (ur.). - Zagreb : Univ. Computing Centre , 1994. 125-130.
Skup: 16th International Conference `Information Technology Interfaces'
Mjesto i datum: Pula, Hrvatska, 14-17.06.1994.
Ključne riječi: 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
Sažetak:
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.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Temeljne tehničke znanosti
Upisao u CROSBI: knezic@gradst.hr (knezic@gradst.hr), 27. Srp. 2010. u 08:51 sati



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