摘要
通过对气象雷达图像的内部信息进行挖掘与分析,进行冰雹预测.采用细胞神经网络进行边缘探测提取,结合小波变换进行数据挖掘的方法,找寻其规律,得到五种系数的规律,并且验证规律的可行性,为冰雹预测提供一个较有效的方法.
Through the data mining and analysis of weather radar images of internal information, hail forecast was conducted. Edge detection was extracted by using cellular neural networks, combining wavelet transform with data mining method to find the rules; we obtain five coefficients of the rules, and verify the feasibility of the law, providing a more effective method for hail forecast.
出处
《伊犁师范学院学报（自然科学版）》
2015年第1期12-17,共6页
Journal of Yili Normal University：Natural Science Edition
基金
国家自然科学基金项目(114610630)
国家教育部人文社会科学基金项目(13YJAZH040)
新疆维吾尔自治区高校科研计划项目(XJEDU2013I26)
新疆财经大学研究生科研创新项目(cdyjk2014006)
关键词
细胞神经网络
小波变换
预测
冰雹
Cellular Neural Network
wavelet transform
prediction
forecasting hail
