摘要
提出一种基于BP神经网络Levenberg-Marquardt算法建立城市生活垃圾产生量的网络预测模型。该方法优于传统的灰色理论预测模型和根据人口数预测垃圾产生量,预测结果客观、合理、精确,实用性强。该研究方法对我国城市生活垃圾管理和环境规划具有一定的指导意义。
A new prediction method of MSW yields is advanced by using BP neural network's Levenberg-Marquardt arithmetic in this paper. The method is superior to classical gray correlation coefficient analysis and to prediction method based on population for simulation and prediction field. The prediction result is impartial,rational,accurate and applicable. This research is of great guiding significance to MSW management and environment planning.
出处
《西安理工大学学报》
CAS
2003年第4期335-339,共5页
Journal of Xi'an University of Technology
基金
山东省中青年科学家奖励基金资助(02BS112)
关键词
城市生活垃圾
BP神经网络
灰色模型
预测
municipal solid waste (MSW)
BP neural network
gray model
prediction
