Predicting THM Formation with Artificial Neural Networksby Paul H. Hutton, (M.ASCE),
Francis I. Chung, (M.ASCE),
Abstract: An existing mathematical model to predict trihalomethane formation and speciation was enhanced through the use of artificial neural network technology. The model corresponded well with observed data in a verification test and showed reasonable sensitivity responses under all conditions tested. An application of this enhanced model within a broader simulation framework is presented in a companion paper.
Subject Headings: Mathematical models | Trihalomethanes | Neural networks | Data processing | Model tests | Mathematics | Verification | Simulation models
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