Neural networks modelling of nitrogen export: model development and application to unmonitored boreal forest watersheds.

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Assessing the performance of a riparian vegetation model in a river with a low slope and fine sediment.Comparing feed-forward versus neural gas as estimators: application to coke wastewater treatment.Improved semi-distributed model for phosphorus losses from Irish catchments.

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Neural networks modelling of nitrogen export: model development and application to unmonitored boreal forest watersheds.

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2010 nî lūn-bûn

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Neural networks modelling of n ...... ored boreal forest watersheds.

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Neural networks modelling of n ...... ored boreal forest watersheds.

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D W Smith

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M H Nour

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P2860

Is Nitrogen Deposition Altering the Nitrogen Status of Northeastern Forests?

Time series forecasting of cyanobacteria blooms in the Crestuma Reservoir (Douro River, Portugal) using artificial neural networks.

Artificial Neural Networks in Hydrology. I: Preliminary Concepts

Assessing the seasonal dynamics of the Brazilian Cerrado vegetation through the use of spectral vegetation indices

Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation

Impact of nitrogen cycling on stream water quality in a basin associated with forest, grassland, and animal husbandry, Hokkaido, Japan

Forecasting chlorine residuals in a water distribution system using a general regression neural network

Input determination for neural network models in water resources applications. Part 1—background and methodology

Data Division for Developing Neural Networks Applied to Geotechnical Engineering

Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models

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495-510

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10.1080/09593330903527880

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20480825

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Neural networks modelling of nitrogen export: model development and application to unmonitored boreal forest watersheds.

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P2860

P2860

Neural networks modelling of nitrogen export: model development and application to unmonitored boreal forest watersheds.

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P698