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- W2355414296 abstract "An accurate and reliable prediction of melt index(MI) of polypropylene is crucial for the propylene polymer-ization process,which helps to supervise the process and improve the profit.Neural network is employed to develop the MI prediction model,but model based on a single neural network has some kind of randomness which results in unstable prediction.A group of neural networks with best MI prediction accuracy and most differences in structure between each other are obtained.These networks are aggregated and a model based on bootstrap aggregated neural networks is pro-posed.The researches on the data from a real plant are carried out in detail.And the results show that the model pro-posed has a great accuracy and reliability in MI prediction.It’s supposed to have an extensive application prospect in propylene polymerization processes." @default.
- W2355414296 created "2016-06-24" @default.
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- W2355414296 date "2010-01-01" @default.
- W2355414296 modified "2023-09-23" @default.
- W2355414296 title "Melt Index Prediction Based on Bootstrap Aggregated Neural Networks" @default.
- W2355414296 hasPublicationYear "2010" @default.
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