Abstract
Due to the rapid development of modern industry, the natural resources on which mankind depends for survival have been severely destroyed. How to curb the gradual decline of water resources and take corresponding measures to curb serious water pollution has become an urgent problem for mankind. This paper aims to study the application of artificial intelligence algorithms in the design of water pollution control systems. Based on the analysis of the characteristics of neural networks, the hazards caused by water pollution, the influencing factors of water pollution treatment and the countermeasures of water pollution treatment, aimed at the process of water pollution treatment, starting from the reality of water pollution control, a neural network model of the water pollution control system is established, and simulation experiments are carried out on it. Experimental results show that the control effect of this model can meet the needs of water pollution control.
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