摘要
剖析了利用人工神经网络实现大气污染总量控制规划智能决策支持系统（ＩＳＡＰＥＣ）中知识自动获取的必要性，论述了ＩＳＡＰＥＣ中知识自动获取的设计与实现过程，并用一实例进行了验证．结果表明用人工神经网络实现知识的自动获取与知识的人工获取相比既具有更高的时间效率，又能保证更高的质量．
The necessity of using the artificial neural network to obtain the knowledge automatically in the intelligent decision support system of air pollution total emission control planning (ISAPEC) is expounded.A process of designing and achieving automatic acquisition of the knowledge in ISAPEC is introduced.The function of the automatic acquired knowledge is tested through a case study.
出处
《环境科学学报》
CAS
CSSCI
CSCD
北大核心
1998年第3期254-259,共6页
Acta Scientiae Circumstantiae
基金
国家环保局科技发展项目
关键词
总量控制规划
ISAPEC
污染物排放
total emission control planning,intelligent decision support system,artificial neural network,automatic acquisition of knowledge.
