Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization

Jinliang Ding, Tianyou Chai, Hong Wang

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents a novel offline modeling for product quality prediction of mineral processing which consists of a number of unit processes in series. The prediction of the product quality of the whole mineral process (i.e., the mixed concentrate grade) plays an important role and the establishment of its predictive model is a key issue for the plantwide optimization. For this purpose, a hybrid modeling approach of the mixed concentrate grade prediction is proposed, which consists of a linear model and a nonlinear model. The least-squares support vector machine is adopted to establish the nonlinear model. The inputs of the predictive model are the performance indices of each unit process, while the output is the mixed concentrate grade. In this paper, the model parameter selection is transformed into the shape control of the probability density function (PDF) of the modeling error. In this context, both the PDF-control-based and minimum-entropy-based model parameter selection approaches are proposed. Indeed, this is the first time that the PDF shape control idea is used to deal with system modeling, where the key idea is to turn model parameters so that either the modeling error PDF is controlled to follow a target PDF or the modeling error entropy is minimized. The experimental results using the real plant data and the comparison of the two approaches are discussed. The results show the effectiveness of the proposed approaches. © 2010 IEEE.
    Original languageEnglish
    Article number5688241
    Pages (from-to)408-419
    Number of pages11
    JournalIEEE Transactions on Neural Networks
    Volume22
    Issue number3
    DOIs
    Publication statusPublished - Mar 2011

    Keywords

    • Least-squares support vector machine
    • mineral processing
    • minimum entropy
    • probability density function control
    • quality prediction

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