Registros del 1 al 10 de 76 encontrados |
![](./images/clear.gif) 1.- A comparative analysis of favorability mapping by weights of evidence, probabilistic neural networks, discriminant analysis, and logistic regression
Springer; New York, NY; USA; United States, 2003
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![](./images/clear.gif) 2.- An ANN-based approach to modelling sediment yield; a case study in a semi-arid area of Brazil
International Association of Hydrological Sciences;; III; International, 2010
Sediment dynamics for a changing future
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![](./images/clear.gif) 3.- AN EXPERT SYSTEM/NEURAL NETWORK MODEL (IMPELERO) FOR EVALUATING AGRICULTURAL SOIL EROSION IN ANDALUCIA REGION, SOUTHERN SPAIN
ELSEVIER; AMSTERDAM; NLD; NETHERLANDS, 1999
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![](./images/clear.gif) 4.- Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling
Elsevier; Amsterdam; NLD; Netherlands, 2010
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![](./images/clear.gif) 5.- APPLICATION OF THE STATISTICAL METHODS AND THE ARTIFICIAL NEURON NETWORKS FOR THE ANALYSIS OF THE HYDROCHEMICAL MEDIUM
INSTITUTO GEOLOGICO Y MINERO DE ESPAÑA;MADRID;ESP, 2007
LOS ACUIFEROS COSTEROS: RETOS Y SOLUCIONES. COASTAL AQUIFERS: CHALLENGES AND SOLUTIONS. VOLUMEN I
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![](./images/clear.gif) 6.- Aquifers management through evolutionary Bayesian networks; the Altiplano case study (SE Spain)
Springer for the European Water Resources Association (EWRA); Dordrecht - Boston; III; International, 2011
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![](./images/clear.gif) 7.- Artificial intelligence and headland-bay beaches
Elsevier; Amsterdam; NLD; Netherlands, 2010
Hydrodynamics and applications of headland-bay beaches
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![](./images/clear.gif) 8.- ARTIFICIAL NEURAL NETWORK APPLICATION IN LANDSLIDE HAZARD ZONATION IN THE VENEZUELAN ANDES
NIPPON CHIKEIGAKU RENGO; KYOTO; JPN; JAPAN, 2001
THE INTERNATIONAL ASSOCIATION OF GEOMORPHOLOGISTS; FIFTH INTERNATIONAL CONFERENCE ON GEOMORPHOLOGY; ABSTRACTS OF CONFERENCE PAPERS
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![](./images/clear.gif) 9.- ARTIFICIAL NEURAL NETWORK TECHNIQUE FOR RAINFALL FORECASTING APPLIED TO THE SAO PAULO REGION
ELSEVIER; AMSTERDAM; NLD; NETHERLANDS, 2005
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![](./images/clear.gif) 10.- ARTIFICIAL NEURAL NETWORK; A POWERFUL TOOL FOR PREDICTING GRAVITY ANOMALY FROM SPARSE DATA
SPRINGER-VERLAG; BERLIN HEIDELBERG; DEU; FEDERAL REPUBLIC OF GERMANY, 2005
GRAVITY, GEOID AND SPACE MISSIONS; GGSM 2004, IAG INTERNATIONAL SYMPOSIUM
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