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Establishment and Application of BP Neural Network Prediction Model of Xinxue River Constructed Wetland, China Based on Data Expansion

机译:基于数据扩张的新夏河构建湿地BP神经网络预测模型的建立与应用

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Over the course of study the BPNN prediction model of Xinxue River constructed wetland, model boundary was found as an important restrict factor of model accuracy. In the paper data expansion was selected to solve this problem, and the extended data was used to re-built the prediction model, results showed that the performance of model was effectively improved.
机译:在研究过程中,Xinxue河的BPNN预测模型构建湿地,模型边界被发现是模型准确性的重要限制因素。在纸质数据扩展中被选择以解决这个问题,并且扩展数据用于重新构建预测模型,结果表明模型的性能得到有效提高。

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