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Hydrological modelling: Water cycle, Black box, Regression, Transfer function, Neural network, System identification - Softcover

 
9786130746797: Hydrological modelling: Water cycle, Black box, Regression, Transfer function, Neural network, System identification

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Hydrologic models are simplified, conceptual representations of a part of the hydrologic cycle. They are primarily used for hydrologic prediction and for understanding hydrologic processes. Two major types of hydrologic models can be distinguished: Stochastic Models. These models are black box systems, based on data and using mathematical and statistical concepts to link a certain input to the model output. Commonly used techniques are regression, transfer functions, neural networks and system identification. These models are known as stochastic hydrology models.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Hydrologic models are simplified, conceptual representations of a part of the hydrologic cycle. They are primarily used for hydrologic prediction and for understanding hydrologic processes. Two major types of hydrologic models can be distinguished: Stochastic Models. These models are black box systems, based on data and using mathematical and statistical concepts to link a certain input to the model output. Commonly used techniques are regression, transfer functions, neural networks and system identification. These models are known as stochastic hydrology models.

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