Coding a conceptual model into a neural network in modeling ice-correction

摘要

In this work three models, a neural network, a conceptual model and a combination of these two, a hybrid model are applied to model the backwater effect of ice in a river. The neural network is a black-box model, based on data. The conceptual model is based on a physical description of the system. The data is used in optimizing the free parameters of the description. In the hybrid model, the neural network is modified so that the physical description of the conceptual model can be coded into the structure of the network. In the beginning of fitting, the hybrid network already performs as well as the conceptual model. During fittign also the physical description is optimized, not only the parameters of the description.