摘要
为探索人工神经网络在环境质量评价中应用的合理性和可靠性，建立了一个三层前向式神经网络，并以改进的Ｂ－Ｐ算法对网络进行了训练．在湖泊富营养化程度评价的应用成果表明，人工神经网络用于环境质量评价简便实用，具有客观性和通用性。
In order to study the reasonability and practicality of the application of the artificial neural network (ANN) to comprehensive environmental quality evaluation,a model for evaluating the comprehensive environmental quality has been constructed by using a three layer forward ANN in cooperation with the improved B-P algorithm.The results of evaluation on the lake eutrophication show that the use of ANN in environmental quality evaluation possesses objectivity,generality and practicality.
出处
《武汉水利电力大学学报》
EI
CSCD
1997年第2期75-78,共4页
Engineering Journal of Wuhan University
基金
国家自然科学基金
关键词
环境质量
评价
湖泊富营养化
人工神经网络
environmental quality evaluation
lake eutrophication
artificial neural network
B-P algorithm
