摘要
利用BP神经网络的改进算法（L-M），通过对大量样本进行多次的训练学习，建立于桥水库水质预痢模型，用该模型对于桥水库高锰酸盐指数、五日生化需氧量、氨氮、溶解氧等污染指标进行了预测，预测结果表明，LM—BP神经网络模型用在于桥水库水质预测时是可行的，可以得到较为理想的的精度和可靠度。
Water quality prediction model for Yu Qiao reservoir was build based on BP neural network improved algorithm （L-M） , and by training and study of samples.The model predicts pollution index such as permanganate index, Five day BOD, ammonia nitrogen, dissolved oxygen for Yu Qiao reservoir.The results shows that applying LM- BP neural network model in water quality prediction for Yu Qiao reservoir is feasible, and can obtain perfect precision and reliability.
作者
田建平
曹东卫
李海楠
TIAN Jianping, CAO Dongwei, LI Hainan （Tangqin Branch of Hebei Provincial Survey Bureau of Hydrology and Water Resources, Tangshan 063000, China）
出处
《水利信息化》
2010年第3期31-34,共4页
Water Resources Informatization
关键词
BP神经网络
L-M算法
水质预测
BP neural network
L-M algorithm
water quality prediction
