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| Research on the Predictive Algorithm of Rolling Force Based on the Improved Fruit Flies Optimization Algorithm with LSSVM |
| YANG Jing-ming1,2,GUO Qiu-chen1,SUN Hao1,MA Ming-ming1,CHE Hai-jun1,2,ZHAO Xin-qiu1,2 |
1. Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao, Hebei 066004, China |
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Abstract In the process of aluminum alloy plate finishing, rolling force is an important factor affecting the quality of plate. In order to meet the scene of the rolling forecast accuracy, improved fruit flies optimization algorithm (FOA) is combined with least square support vector machine (LSSVM) for rolling force prediction. The function of smell and the method of step length setting are improved. The grouping parallel search strategy is used. A new method based on the improved FOA-LSSVM is proposed for rolling force prediction. The method is used in simulation experiment of field data of aluminum strip, the results show that the prediction error data is in the range of ten percent, and eighty-four percent of these error data is in the range of five percent, the result shows that this method is better than the traditional model.
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Received: 13 November 2014
Published: 29 July 2016
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2016, Vol. 37 
