BP神经网络用于水体中N综合污染评价

Study on BP Neural Network in Synthesize Polluting Evaluation of Nitrogen in Water

为解决环境质量评价的模式识别问题,采用BP算法的人工神经网络建立水质评价模型,对长江上游某一监测区间的对照断面水体的N元素污染情况进行综合评价。通过实例探讨,这种新的BP网络既适用于定量指标的水质参数的评价又适用于定性指标的水质参数的评价,可以用于环境质量评价体系的建立。

For resolving the problem of mode recognizing of environmental quality evaluation, the model of water quality evaluation has been established based on BP artificial neural network and had evaluated synthesize pollute of Nitrogen of one cross section of Changjiang River. Through experiment of sample water, the new-style BP network can be used to evaluate not only the ration parameter but also qualitative parameter of water quality, and can also be used in establishing system of environmental quality evaluation.