摘要
基于CMAC网络模型建立了区域水安全评价模型,根据水安全评价标准及其所属的评价等级值,随机内插生成序列来建立评价分类的样本集。应用实例表明,CMAC算法收敛速度很快,结构简单,具有一定的泛化能力,能如实地评价区域水安全。
A model of the precaution assessment on regional water security based on local-learning networks CMAC is established.According to assessment standard sequences and grade values,a sample muster is formed by the stochastic linear interpolation method.It is illustrated that CMAC is characterized by quick convergence,simple architecture and certain capability of generalization and can be used to evaluate regional water safety.
出处
《中国农村水利水电》
北大核心
2010年第4期30-32,共3页
China Rural Water and Hydropower
基金
国家自然科学基金(50839002)
水利部公益性专项科研项目(200701025)
关键词
水安全
CMAC
评价
water security
CMAC
assessment
