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Prediction on Fozen Period of Inner Mongolia Sction in Yellow River Based on an Artificial Neural Network Model

机译:基于人工神经网络模型的黄河内蒙古作用冻结时期预测

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摘要

In order to analyze ice historical material of Inner Mongolia.know formation laws of ice flood, timely and accurately forecast the occurrence and development of ice, the frozen period forecast model of Inner Mongolia is established with the principle of artificial neural network, Focusing on the BaYanGaoLe, SanHuHeKou and TouDaoGuai, the specific frozen period of river ice are forecasted. As a result, the manners provide theoretical support and technical parameters for improving ice disaster monitoring techniques and conditions forecast At the same time, the information offers more detailed support to decision maker.
机译:为了分析内蒙古的冰历史。冰洪的形成规律,及时准确地预测冰的发生和发展,内蒙古的冰冻期预测模型以人工神经网络的原则建立,重点预测河冰的特定冻结时期Bayangaole,Sanhuhekou和Tudaoiai。因此,该信息的举止提供了用于改善冰灾监测技术和条件预测的理论支持和技术参数,该信息对决策者提供更详细的支持。

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