BP神经网络模型在城市环境质量评价中的应用

Application of BP Neural Network Model in City Environment Quality Evaluation

针对城市污染问题，运用人工神经网络理论和方法，建立城市环境质量评价的BP神经网络模型，通过实例进行评价分析，并与灰色关联模式识别评价结果进行比较，说明用BP神经网络方法评价城市环境质量是可行的。该模型具有很强的学习、联想和容错功能，其分析结果和过程都接近人脑的思维过程和分析方法，使得城市环境质量评价结果的精度大大提高。

According to ANN theory and method a BP neural network model for city environment quality evaluation was built, and compared with grey correlation evaluation. The result shows that the application of BP neural network in city environment quality evaluation is feasible .This model possesses strong functions of study ,association and fault tolerance ,moreover ,both its analysis results and process approach the metal process and analysis method of human brain ,which greatly improves the accuracy for city environment quality evaluation .