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more general categories information about this item Biological Sciences Biological Sciences anatomy and morphology (70482) plant anatomy (36017) seeds (5899) behavior (11747) learning (642) botany (53088) plant biology (52661) plant anatomy (36016) seeds (5899) organisms (108862) plants (35960) trees (7529) psychology (12488) behavior (11746) learning (642) Calendar Year Calendar Year Year (337475) 2013 (32153) Health and Pathology Health and Pathology animal and human health (42466) human health and safety (4222) human health (1407) Natural Resources, Earth and Environmental Sciences Natural Resources, Earth and Environmental Sciences environmental science (25745) wastes (6002) wastewater (1699) acid mine drainage (116) geology (23343) hydrogeology (3273) drainage (883) hydrology (18092) hydrogeology (3273) drainage (883) Physical and Chemical Sciences Physical and Chemical Sciences chemistry (84737) physicochemical properties (27179) Plant Science and Plant Products Plant Science and Plant Products botany (53089) plant biology (52662) plant anatomy (36017) seeds (5899) plants (35961) trees (7529) Reference Types Reference Types Journal (337546) Research, Technology and Engineering Research, Technology and Engineering equipment (11338) mathematics and statistics (33406) prediction (5471) mathematical models (6495) nonlinear models (896) neural networks (701) statistics (23850) probability (9317) uncertainty (1752) methodology (66114) laboratory techniques (29304) monitoring (4857) support systems and models (27487) models (27236) mathematical models (6495) nonlinear models (896) neural networks (701) Rural and Agricultural Sociology Rural and Agricultural Sociology history (623) Abstract of Article: Will be presented in next release Date Last Accessed: Accessed January 20, 2015 Title of Article: Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques Author(s) of Article: Will be identified in next release Citation: Environmental monitoring and assessment 2013 v.185 no.5 pp. 4171-4182 Click to View: (Click to View) Date of Publication: 2013 Location of Article: http://pubag.nal.usda.gov/pubag/article.xhtml?id=444180 Name of Publication: Environmental monitoring and assessment Publishing Company: Will be identified in next release Accession Number: 78901
