Water quality prediction method based on gated circulation unit network integration

A high-precision prediction algorithm is designed for the current situation that water quality changes are difficult to predict to cause pollution accidents. According to the algorithm, an integratedgating circulation unit is innovatively used for processing time series data of historical water quality indexes, so that water quality prediction and analysis are carried out. The algorithm is builtby a Keras tool of PYTHON3.6. 5, and comprises the steps of integrating five gating cycle unit networks, and integrating the five gating cycle units by using an averaging method. The time series dataof the multiple water quality indexes are used as the input of the algorithm, and finally the high-accuracy water quality effect is obtained. The algorithm provides a new solution for water quality prediction, can provide reliable evaluation and early warning for water pollution prevention and control, and is further widely applied to the field of water quality prediction. 本发明专利针对水质变化难以预测导致污染事故发生的现状，设计了高精度预测算法。算法创新性地运用集成门控循