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Innovations Top illustration: Reuther/EHP
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Psychic Networks: Training Computers to Predict Algal Blooms Kris Freeman Abstract
Researchers at the University of Adelaide have developed a computer model that predicts toxic algal blooms using an artificial neural network (ANN) , a type of computer system that mimics the arrangement of neurons in the human brain. University researchers have developed an ANN that can predict blooms of toxic species of the genus Anabaena up to four weeks in advance. ANNs are also being used to forecast salinity and other factors that affect water quality in the Murray-Darling river system, Australia's major source of surface water. Although the researchers' immediate charge is to help improve water quality in the Murray-Darling system, their overarching goal is to develop protocols for using ANNs that can be applied to problems in other geographic areas as well as with other types of water quality problems.
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