Artificial Neural Network Modeling of Phytoplankton Blooms and its Application to Sampling Sites within the Same Estuary
作者： H.-Y. Kang , R.A. Rule , P.A. Noble
DOI: 10.1016/B978-0-12-374711-2.00908-6
关键词:
摘要: Artificial neural networks (ANNs) are useful tools for modeling complex ecosystems because they can predict how respond to changes in environmental variables (e.g., nutrient inputs). In addition, ANNs be used discover relationships among variables, which aids the understanding of ecosystem function. ANN models were phytoplankton blooms three different sites within same salt marsh estuary located South Carolina. We (1) compared with architectures, (2) applied sensitivity analysis identify importance input and (3) results from those obtained using linear models.
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