节点文献
基于粗糙集-神经网络的暴雨预报
Rainstorm forecast Based On Rough Set and Artificial Neuron Network
【摘要】 通过对暴雨预报的经验总结,首先找出对暴雨有影响的一些因子,然后利用人工神经网络与粗糙集理论的优势互补,采用粗糙集对数据进行预处理,构建基于粗糙集-神经网络的暴雨预报仿真模型,并依据此模型进行了验证评价。结果表明,该仿真结论与实际相吻合。
【Abstract】 through summarizes the experience, find out some factors that influence rainstorm forecast firstly; and then making use of the complementary superiority of ANNA and RS each other, taking RS for former disposal data, constructed rainstorm forecast simu- lation model basing on RS and ANN, and put it up to the example validation. The results indicate that the simulating is efficient.
【基金】 国家“863”计划资助项目(2003AA116060)
- 【文献出处】 微计算机信息 , 编辑部邮箱 ,2006年31期
- 【分类号】TP183
- 【被引频次】7
- 【下载频次】180