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Based on image recognition of coal particles, taking red average, green average, blue average, brightness average, saturation average, chroma average, mean value of gray scale, contrast ratio, and correlation as the input vectors, and using the BP neural network, this paper study on the prediction of coal ash. After establishing the network and training the experimental data in it, the network is stimulated. The result shows that the network has better prediction accuracy.
Date of Conference: 24-26 June 2011