Artificial Neural Network

Method for Solar Resource Assessment Using Numerical Weather Prediction and Artificial Neural Network Models Based on Typical Meteorological Data: Application to the South of Portugal
In this work a method for regional solar resource assessment based on numerical weather prediction (NWP) and artificial neural network …
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State-Dependent Errors in a Land Surface Model across Biomes Inferred from Eddy Covariance Observations on Multiple Timescales
Characterization of state-dependent model biases in land surface models can highlight model deficiencies, and provide new insights into …
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Applying Different Inversion Techniques to Retrieve Stand Variables of Summer Barley with PROSPECT + SAIL
This study describes the retrieval of state variables (LAI, canopy chlorophyll, water and dry matter contents) for summer barley from …
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