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利用改进的回声状态网络方法,引入小波函数对数据进行预处理,对船舶的实测摇荡时历进行处理,提高了预报的精度。试验结果表明:与传统回声状态网络方法相比,该方法的预报精度和可靠性得到了提高。
Using the improved echo state network method, a wavelet function is introduced to preprocess the data to process the actual measured time history of the ship and improve the forecasting accuracy. The experimental results show that compared with the traditional echo state network method, the accuracy and reliability of the proposed method are improved.