首页 | 本学科首页   官方微博 | 高级检索  
检索        

BP神经网络在餐厨垃圾处理厂适宜性评价中的应用
引用本文:张丽.BP神经网络在餐厨垃圾处理厂适宜性评价中的应用[J].环境卫生工程,2014,22(6):16-18.
作者姓名:张丽
作者单位:江汉大学化学与环境工程学院,湖北武汉,430056
基金项目:2012年度湖北省建设科技项目
摘    要:在调研武汉市餐厨垃圾处理厂基础上,以CJJ 184-2012餐厨垃圾处理技术规范作为餐厨垃圾处理厂选址适宜性评价模型指标选取依据,选取规划适宜、交通运输、环境保护、建场条件和社会经济效益5个方面13个指标,采用BP神经网络构建模型,并以此模型对武汉市2个已建成的餐厨垃圾处理厂选址进行适宜性评价.结果表明,2个已建成的餐厨垃圾处理厂的选址为合格选址.评价模型较客观反映了武汉餐厨垃圾处理厂的实际情况,具有较强的适用性和可靠性.

关 键 词:BP神经网络  餐厨垃圾处理厂  适宜性评价

Application of Back-Propagation Network in Suitability Evaluation of Food Waste Treatment Plants
Zhang Li.Application of Back-Propagation Network in Suitability Evaluation of Food Waste Treatment Plants[J].Environmental Sanitation Engineering,2014,22(6):16-18.
Authors:Zhang Li
Institution:Zhang Li (School of Chemical and Environmental Engineering, Jianghan University, Wuhan Hubei 430056)
Abstract:Based on an investigation into the food waste treatment plants in Wuhan, in accordance with CJJ 184--2012 Technical Code on Food Waste Treatment to select indexes for site selection suitability evaluation of food waste treatment plants, 13 indexes with 5 aspects were selected, including appropriate planning, transportation, environmental protection, field conditions, and social & economic benefits. The model was constructed by Back-Propagation Network to evaluate the suitability of site selection for 2 food waste treatment plants in Wuhan. The result showed that the suitability of 2 food waste treatment plants were qualified. The evaluation model can objectively reflect the actual situation of the plants, and has stronger applicability and reliability.
Keywords:Back-Propagation Network  food waste treatment plant  suitability evaluation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号