摘要
利用BP神经网络,对2006—2014年天津市生活垃圾产生量进行分析。将代表社会经济发展程度、人口、居民生活水平和习惯3个层面的8项指标作为生活垃圾产生量预测模型的输入层元素,得到拟合程度较好的预测模型,从而预测出2015—2017年生活垃圾产生量将分别达到2.234 6×106、2.386 4×106、2.498 2×106t,年增长率分别为4.29%、6.79%、4.68%。
The production of domestic waste in Tianjin city from 2006 to 2014 was analyzed by BP neural network. We chosen eight specific indicators representing three aspects of social and economic development degree, population, residents＇ living standard and habits as input layer elements of domestic waste production prediction model with good fitting degree. The model predicted in 2015-2015, domestic waste production will reach 2.234 6, 2.3864 and 2.498 2 million tons, and annual growth will be 4.29%, 6.79%, 4.68%.
出处
《环境卫生工程》
2017年第2期15-17,共3页
Environmental Sanitation Engineering
