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| Displacement Cooking Kappa Value Online Prediction Based on Data-driven |
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| DOI：10.11980/j.issn.0254-508X.2016.12.007 |
| Key Words:data-driven displacement cooking Kappa value optimization of operation mode fuzzy neural network |
| Fund Project:国家国际科技合作项目(2010DFB43660)；陕西省科技厅国际科技合作项目(2011KW-11(2))；咸阳市科技研究项目(2014k03-05)。 |
| Author Name | Affiliation | | 党世红1,2 | 1.陕西科技大学轻工与能源学院,陕西西安,710021；2.咸阳职业技术学院机电学院,陕西咸阳,712000 | | 汤 伟1 | 1.陕西科技大学轻工与能源学院,陕西西安,710021 | | 甘文涛1 | 1.陕西科技大学轻工与能源学院,陕西西安,710021 | | 杨鹏飞1 | 1.陕西科技大学轻工与能源学院,陕西西安,710021 |
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| Abstract:Aiming to the difficulty of Kappa value online measurement in displacement cooking, this paper proposed a data-driven method to online predict Kappa value in displacement cooking. Based on the analysis of the features of displacement cooking process, an online prediction frame of Kappa value in displacement cooking based on data-driven was proposed, a pattern-matching optimization calculation was presented and a model of data-driven Kappa value online prediction was designed. The results of simulation and production application confirmed the effectiveness of the method． |
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