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四川旱涝震灾害的人工神经网络外推预测
引用本文:李祚泳,邓新民,黄志英.四川旱涝震灾害的人工神经网络外推预测[J].成都信息工程学院学报,1997(2).
作者姓名:李祚泳  邓新民  黄志英
作者单位:成都气象学院,内江市气象局
摘    要:选取旱、涝、震灾害之间的一步转移概率作为B-P人工神经网络训练样本的输入信息,建立了四川旱、涝、震的人工神经网络灾型预测模型。B-P网络模型应用于实例预测结果与用主分量分析法的趋势预测结果精度接近。

关 键 词:旱涝震灾害  人工神经网络  B-P算法  灾害预测

PREDICTION OF DROUGHT FLOOD AND EARTHQUAKE IN SICHUAN BY ARTIFICIAL NEURAL NETWORK
Li,Zuoyong,Deng,Xinmin.PREDICTION OF DROUGHT FLOOD AND EARTHQUAKE IN SICHUAN BY ARTIFICIAL NEURAL NETWORK[J].Journal of Chengdu University of Information Technology,1997(2).
Authors:Li  Zuoyong  Deng  Xinmin
Abstract:A prediction model of drought,flood and earthquake disasters in Sichuan based on the artificial neural networks is developed and one step transitional probabilities among drought,flood and earthquake are selected as the input information of B P artificial neural network.The examples show that the prediction results of drought,flood and earthquake trend by this method approximate to that by the principal component analysis.
Keywords:Disaster  research  Artificial  neural  network  B  P  algorithm  Disaster  prediction  
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