Research and analysis

Refinement of artificial intelligence-based systems for diagnosing and predicting river health

Systems for using river invertebrate data to diagnose environmental pressures and model their relationships.

Documents

Refinement of artificial intelligence-based systems for diagnosing and predicting river health

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Details

This report presents the results of a project funded by the Environment Agency which builds on the previous creation of two software systems to diagnose and predict river health from biological and environmental data, namely the River Pressure Diagnostic System (RPDS) and the River Pressure Bayesian Belief Network (RPBBN). RPDS is a pattern recognition system to diagnose likely pressures at a river site. RPBBN is a reasoning system that can diagnose chemical concentrations from a biological community, or predict likely changes in a biological community from changes in chemical concentrations.

Published 26 September 2011