基于BP神经网络的大气环境质量评价模型

Quality Evaluation Model of Atmospheric Environment Based on BP Neural Network

依据BP人工神经网络原理,以MATLAB为工具,建立了某市大气环境质量评价模型,评价了该市1月上旬大气环境质量状况,并与灰色聚类法、模糊综合评价法的评价结果进行比较,得到了较为一致的评价结果。

Based on rationale of BP artificial neural network, MATLAB as tool, the quality evaluation model of atmospheric environment of some city was established to evaluate its atmospheric environment quality in early Jan. Then the evaluation results were compared with that from grey clustering and fuzzy integrated evaluation for getting relatively consistent evaluation results.