基于GA-BP-SD模型的生态环境质量综合评价

Comprehensive Assessment of Ecological Environmental Quality by GA-BP-SD Model

近年来,中国小城镇生态环境质量恶化趋势明显,同时相应的综合评价研究也逐步深入。针对生态环境质量综合评价问题,建造了GA-BP-SD模型。它对反向传播神经网络初始权值和阀值用遗传算法优化,并将隶属度引入遗传神经网络,以便确定生态环境质量的影响因子和程度。用此模型对小城镇生态环境质量进行了综合评价和探索,结果说明该方法是适合中国小城镇进行生态环境质量评价方法的。

In recent years, ecological environmental quality of small town in our country is becoming terrible, and the development about the research on quality assessment is also becoming fast. A comprehensive assessment model of ecological environmental quality was set up based on GA - BP - SD. The initial weights and threshold of back - propagation neural network were optimized to this model by genetic algorithms. And the subordinate degree was introduced into this model to know the influence factors and the degree of ecological environmental quality, The model was applied to analyzing ecological environmental quality assessment of three small towns. The evaluation about small town shows the model is appropriate to ecological environmental quality assessment of small town in our country.