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基于人工神经网络的GMS云图四类云系的识别
引用本文:白慧卿,郑君里.基于人工神经网络的GMS云图四类云系的识别[J].应用气象学报,1998,9(4):402-409.
作者姓名:白慧卿  郑君里
作者单位:1.国家卫星气象中心,清华大学电子工程系
摘    要:应用人工神经网络方法较成功地识别了GMS云图中的四类云系,并与传统的统计识别方法进行了对比,得出结论:神经网络方法更适合于云系的特征识别。还研究了神经网络本身的问题,取得一些网络设计的经验。

关 键 词:神经网络    云系    识别

Identification About Four Kinds of Cloud Systems in GMS Images Based on Neural Network
Bai Huiqing,Fang Zongyi,Wu Rongzhang.Identification About Four Kinds of Cloud Systems in GMS Images Based on Neural Network[J].Quarterly Journal of Applied Meteorology,1998,9(4):402-409.
Authors:Bai Huiqing  Fang Zongyi  Wu Rongzhang
Institution:1.1) (National Satellite Meteorological Center, Beijing 100081); 2) (Department of Electronic Engineering, Tsinghua University, Beijing 100084)
Abstract:Based on the theory of neural network,four kinds of cloud systems in GMS images are successfully identified. Comparing neural network with traditional maximum likelihood method,we can draw the conclusion that the neural network is even better for identifying cloud systems. Some problems about neural network itself are also studied,and some experiences for designing neural network are obtained.
Keywords:Neural network  Cloud system  Identification
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