Ecology

Data on Artificial Neural Networks Described by Researchers at Argonne National Laboratory

  2012 JUL 6 (VerticalNews) -- By a News Reporter-Staff News Editor at Ecology, Environment & Conservation -- Current study results on Artificial Neural Networks have been published. According to news reporting from Argonne, Illinois, by VerticalNews journalists, researchers stated "Understanding the interactions between the Earth's microbiome and the physical, chemical and biological environment is a fundamental goal of microbial ecology. We describe a bioclimatic modeling approach that leverages artificial neural networks to predict microbial community structure as a function of environmental parameters and microbial interactions."

  The news correspondents obtained a quote from the research by the authors from Argonne National Laboratory, "This method was better at predicting observed community structure than were any of several single-species models that do not incorporate biotic interactions. The model was used to interpolate and extrapolate community structure over time with an average Bray-Curtis similarity of 89.7. Additionally, community structure was extrapolated geographically to create the first microbial map derived from single-point observations."

  According to the news reporters, the researchers concluded: "This method can be generalized to the many microbial ecosystems for which detailed taxonomic data are currently being generated, providing an observation-based modeling technique for predicting microbial taxonomic structure in ecological studies."

  For more information on this research see: Predicting bacterial community assemblages using an artificial neural network approach. Nature Methods, 2012;9(6):621-5. (Nature Publishing Group - www.nature.com/; Nature Methods - www.nature.com/nmeth/)

  Our news journalists report that additional information may be obtained by contacting P.E. Larsen, Argonne National Laboratory Biosciences Division, Argonne, Illinois, United States.

  Keywords for this news article include: Argonne, Illinois, United States, Machine Learning, Emerging Technologies, North and Central America, Artificial Neural Networks.

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