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中文摘要: 采用初级预报模式结合人工神经元网络（BP算法）的方法，使用阿坝牧区大雪天气过程历史资料，研制了川西高原牧区大雪天气预报系统。利用9210工程接收到的数据资料，自动完成因子采集和结论输出，每次输出后，因子库自动增加新的因子，网络再次学习，从而进一步提高预报精度。
中文关键词: 大雪，短期预报，人工神经元网络，反向传播，自学习功能
Abstract:The weather forecast system for heavy snow over Chuanxi Plateau in Sichuan province was developed by using the historical weather records of heavy snow on Aba grass land and combining an elementary model with BP artificial neural network.The system is automated to collect the interrelated factors and output the conclusion by using the data information from the Project 9210.Then new factors were automatically added to the data base, and the forecast accruacy for heavy snow of the forecast system was improved.
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引用文本：
陈晓刚,郭斌,张政,1999.川西高原大雪人工神经元网络短期预报系统[J].气象,25(8):37-39.
,1999.The Short-range Weather Forecast for Heavy Snow in Chuanxi Plateau by BP Artificial Neural Network[J].Meteor Mon,25(8):37-39.
陈晓刚,郭斌,张政,1999.川西高原大雪人工神经元网络短期预报系统[J].气象,25(8):37-39.
,1999.The Short-range Weather Forecast for Heavy Snow in Chuanxi Plateau by BP Artificial Neural Network[J].Meteor Mon,25(8):37-39.