An application of ANN Modeling on the Biosorption of Arsenic
摘要：
To solve the water pollution problem by arsenic contamination resulting from human technological activities has for long presented a challenge. Biosorbents shows better efficiency and multiple reuses to increase their economic attractiveness. The Artificial Neural Networks (ANNs) technology is a robust artificial intelligence technology that can handle the complex and dynamic nature of adsorption processes. A single layer ANN model was developed to predict the sorption efficiency of arsenic species from water bodies using and 0.000157767 respectively.
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DOI：
10.1007/s12649-012-9164-0
被引量：
年份：
2013
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