摘要
控制SO2 污染是当今世界关心的重大课题。煤是中国能源支柱 ,由燃煤造成的硫污染尤为突出。研究煤中硫分与产率之间的关系并建立适用的模型是脱除硫工艺中至关重要的一步。本研究利用神经网络技术来研究硫分与产率之间的关系模型 ,此研究为寻求一种技术上可行、经济上合理的脱硫工艺 ,进而减少硫污染具有重要的理论价值和实际应用价值。
The SO 2 pollution control is a hot topic in the world.Coal is the main energy source in China.The sulphur pollution caused by burning coal has become very serious recenly.Constructing the proper model of sulphur and the coal output is an important step in the process of coal desulphurization technique.The math modcl of sulphur and the coal output is established with ANN,the simulation results show the trained ANN has good performance.
出处
《自动化与仪器仪表》
2003年第1期12-14,共3页
Automation & Instrumentation