[Assessment model of townlet eco-environmental quality based on BP-artificial neural network].
Aiming at the problems in the townlet eco-environmental quality assessment in China, a comprehensive assessment model of townlet ecological environmental quality based on BP-artificial neural network was set up, which contained 20 cryptic layer nodes and 3 layers. The rank classification criterion of eco-environmental quality's assessment indicator system were chosen as the training sample of the model, the 10% of training sample as well as the middle and critical values were regarded as examining sample, and the monitoring values of assessment region were treated as test sample. Choosing the Dushan Town in Ezhou City as an example, the training and prediction were made by using MATLAB software. The results showed that BP-artificial neural network was not only feasible and dependable, but also couldprovide acceptable results in accord with the regional realistic eco-environmental feature.
Li
Li
L
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. lucy0919@126.com
Zhang
Hai-tao
HT
D002681:China; D002947:Cities; D004463:Ecology / Q000379:methods; D017753:Ecosystem; D004779:Environment Design; D004784:Environmental Monitoring / Q000379:methods*; D005069:Evaluation Studies as Topic; D008962:Models, Theoretical; D016571:Neural Networks, Computer