Water network channel state control system based on fuzzy neural network

The invention provides a water network channel state control system based on a fuzzy neural network, belongs to the technical field of water network channel state control, and aims to solve the problem of low channel control precision at present, form data-driven fuzzy control, and realize the control of the water network channel state through sample learning of mechanism-driven control, a regression model and feedback adjustment. A state space is combined with a fuzzy neural network, a multi-input multi-output state-control decision mechanism is achieved, a regression model is adopted for a sample controlled by the mechanism, a hydrodynamic model is combined, a prediction function model is formed, the state space is established, the fuzzy neural network is adopted for input, and a multi-input multi-output state-control decision mechanism is obtained. And predictive function fuzzy control based on the state space model is realized. 本发明提供了一种基于模糊神经网络的水网渠道状态控制系统，属于水网渠道状态控制技术领域，本发明针对目前渠道控制精度不高问题，形成数据驱动的模糊控制，通过机理驱