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垃圾给名胜景区带来的许多灾难呈现出日益加重的趋势，已经引起社会的广泛关注。但控制景区环境污染是一项系统工程，需要全社会通力合作。为了动态监测景区环境污染，给环境管理部门提供决策依据，本文针对某个景区环境垃圾污染的现象，借助神经网络技术提出对不确定的人为因素影响环境的程度进行监测。“,”Litter in key point of interest beauty spot leads to numerous problems, which adversely affects beauty spot development sectors. As valuable means for beauty spot pollution control, minimization and mitigation remain attractive approaches. However, dynamic and uncertain features are associated with these processes, resulting in difficulties in their management and control. Artificial intelligence tech-niques of neural network were applied as methods to determine beauty spot litter grading, based on litter surveys of the region beauty spot . The constructed neural network satisfactorily predicted the grading of district beauty spot and litter categories based on the number of litter items , Thus give is whole for the view area the environment egis departmen to cure the view area pollution of the environment to provide the assistance decision.