摘要
针对水资源可持续利用评价方法的不足,提出了基于支持向量机的水资源可持续利用评价的新方法,并对汉中和淮河地区进行了实例应用;最后将基于支持向量机的评价结果,与人工神经网络和SP方法的评价结果进行对比,结果表明新方法模型简单、实用性强。
In the light of dissatifaction of existing sustainable developmental level assessment methods of regional water resource(SDLRWR),an new assessment model based on support-vector-machine (SVM)was put forward and applied to assess the SDLRWR of Hanzhong and Huaihe regions. By contrast with artificial neural networks and Shepard(SP) method,its results show that the presented model was practical and convenient for use. It is feasible to use the model for assessment and decision-making of regional water resources.
出处
《水电能源科学》
2005年第5期18-21,共4页
Water Resources and Power
关键词
水资源
可持续利用
支持向量机
评价
神经网络
water resource
sustainable development level
support-vector-machine
assessment
artificial neural networks
