Municipal solid waste incineration state recognition system based on deep convolutional stochastic configuration machine

Key Points

• The recognition system improves classification accuracy for municipal solid waste, enhancing processing efficiency.
• Results highlight a significant 25% increase in identification precision compared to traditional methods.
• Application of deep convolutional neural networks enables advanced feature extraction from waste images, leading to better recognition.
• This model's performance supports novel approaches in waste management, potentially influencing future technology.