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Optimal scheduling ratio of recycling waste paper with NSGAII based on deinked-pulp properties prediction.
Yin Liu
Wenhao Shen
Yi Man
Zhang Liu
Panos Seferlis
Published in:
Comput. Ind. Eng. (2019)
Keyphrases
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optimal scheduling
prediction accuracy
scheduling problem
prediction model
desirable properties
neural network
computer vision
standard deviation
scheduling algorithm
structural properties