Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network

In batch processes, the accurate prediction of quality variables plays a crucial role in smooth production and quality control. However, various sources of noise in the production environment cause abnormal data fluctuations that deviate from the real value. Coupled with the dynamic nonlinearity of...

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