Research on Forecast Model of Heavy Metal in Sludge based on BP Network
Content forecast of heavy metal is emphasized during sludge utilization in agriculture. General forecast algorithms are not competent for the forecast since the relationship between content of heavy metal in sludge and its influences are multidimensional and nonlinear. With influences of both sequence and consequence upon content of heavy metal in sludge considered, a forecast model based on BP network was constructed and trained with sludge data sampled from a municipal wastewater treatment plant. The comparison of forecast performance was made between the constructed and linearity regression algorithms. Result shows that the constructed algorithm has better optimization searching mechanism and is more precise in forecast.
Heavy Metal Sludge Forecast BP Network
Ying Sun Lin Yang
College of Environmental and Chemical Engineering, Shanghai University Shanghai, 200072, China College of Economics and Management, Tongji University Shanghai, 200092, China
国际会议
杭州
英文
812-814
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）