Method for determining rectangular vegetation weir flow through machine learning

The invention discloses a method for determining the flow of a rectangular vegetation weir through machine learning, and the method comprises the steps: carrying out the field measurement of different rectangular vegetation weir river channel projects, and determining the flow coefficient of the rectangular vegetation weir; key influence parameters of the rectangular vegetation weir flow coefficient Cd are determined; determining key variables in a regularization learning machine algorithm of the sparrow optimization algorithm based on the key influence parameters; performing algorithm self-learning by applying a sparrow optimization algorithm and a regularization learning machine algorithm, and outputting a prediction expression of the rectangular vegetation weir flow coefficient Cd; parameters of the target working condition of the rectangular vegetation weir in actual engineering are measured and substituted into the determined prediction expression of the flow coefficient Cd of the rectangular vegetation