摘要
应用神经网络工具对动力用煤数据库进行数据挖掘 ,对影响煤灰结渣的大量煤质样本数据进行训练和验证 ,建立了适合国内煤质结渣预测的网络模型 。
Dataexcavation for database of coals used in power industry has been carried out by using neural network dataexcavating tool, and a large number of coal quality specimen data affecting the coal ash slagging behavior being trained and verified, a network model suitable for slagging prediction of various kinds of domestic coals being established, expanding the judgement ability for slagging state in boiler operation.
出处
《热力发电》
CAS
北大核心
2004年第6期27-30,共4页
Thermal Power Generation
关键词
人工神经网络
数据挖掘
动力用煤
结渣模型
煤质分析
artifitial neural network
dataexcavation
coals used in power industry
slagging prediction model
coal quality analysis
