O Analiz? Senzitiv? a Func?iilor de Pedotransfer ANN pentru Modelarea Spa?ial? a Capacit??ii de Schimb Cationic a Solului

作者： Rebecca Tirado Corbola , M. Sadeghnejad , F. Sarmadian , A Keshavarzi

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摘要: Dezvoltarea unor modele de simulare a proceselor sol crescut rapid in ultimii ani. Aceste au fost dezvoltate pentru imbun?t??i in?elegerea solului importante ?i, asemenea, s? ac?ioneze ca instrumente evaluare problemelor agricole ?i mediu. In aceast? cercetare, un model re?ea neuronal? artificial? (ANN) dezvoltat prezice schimb cationi din sol. Capacitatea (CEC), numit? kriging neural (NK), prin caracteristicile usor masurabile lut carbon organic. 134 probe colectate la diferite orizonturi profile sol, 34 situate regiunea Ziaran, provincia Qazvin, Iran. Setul date imp?r?it dou? subseturi calibrare (75%) testare (25%) modelului. scopul evalua modelul, eroarea p?tratic? medie (RMSE) R2 utilizate. Valoarea RMSE derivate RNA 0,04 0,97, respectiv. Compara?ia dintre ar?tat c? modelul ANN cu trei neuroni stratul ascuns ofer? estim?ri mai bune CEC. Analiza sensibilitate fost, realizat? investiga efectele diferi?ilor parametri explicativi privire ie?ire. Rezultatele indicat varia?iile CEC sensibile con?inutul mare argil? variabil OC. Pentru analizele geostatistice, prelevarea f?cut? metoda randomizat? stratificat? 0-15 cm adâncime loca?ii. compararea evaluarea metodelor obi?nuite, folosi?i parametrii statistici coeficientul corelare (r) datele incercare. aratat coeficient corela?ie (0.96) pu?in (1.22) decât obi?nuit? prezicerea cartografierea spa?ial? zonele

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O Analiz? Senzitiv? a Func?iilor de Pedotransfer ANN pentru Modelarea Spa?ial? a Capacit??ii de Schimb Cationic a Solului

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O Analiz? Senzitiv? a Func?iilor de Pedotransfer ANN pentru Modelarea Spa?ial? a Capacit??ii de Schimb Cationic a Solului

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