Application research of artificial intelligence technology in wastewater treatment
In response to the complexity of data processing in sewage treatment,this article proposes using neural network algorithms and genetic algorithms for sewage data processing.Through in-depth research on neural network algorithms,it has been found that they can achieve intelligent regulation and efficient prediction in wastewater treatment processes.Meanwhile,the application of genetic algorithms has optimized the operation and management of sewage treatment plants.The experimental results show that using neural network algorithms and genetic algorithms for sewage data processing can significantly improve treatment efficiency and reduce treatment costs.Neural network algorithms achieve rapid detection of pollutants and intelligent regulation of flow through big data analysis and pattern recognition,while genetic algorithms provide innovative solutions for optimization problems in wastewater treatment processes by simulating biological evolution.
万方数据
维普
