Prediction of China's printing and dyeing fabric production based on LSTM
The LSTM model was adopted to predict the production of printed and dyed fabrics in China.The results showed that the average prediction error was only 0.259 1％,a decrease of 76.094 2％compared to the extreme learning machine's 1.018 1％,and a decrease of 56.960 1％compared to the recurrent neural network's 0.602 0％.The LSTM model was used to predict the production of printed and dyed fabrics in China from 2023 to 2025.The analysis shows that this prediction result has high credibility.
long-short term memory(LSTM)printed and dyed fabricproductionprediction
万方数据
维普
