期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
LS-SVM model based nonlinear predictive control for MCFC system
1
作者 CHEN Yue-hua CAO Guang-yi ZHU Xin-jian 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2007年第5期748-754,共7页
This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). In order to improve MCFC’s generating performance, prolong its life and guarantee safety, it must be co... This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). In order to improve MCFC’s generating performance, prolong its life and guarantee safety, it must be controlled efficiently. First, the output voltage of an MCFC stack is identified by a least squares support vector machine (LS-SVM) method with radial basis function (RBF) kernel so as to implement nonlinear predictive control. And then, the optimal control sequences are obtained by applying genetic algorithm (GA). The model and controller have been realized in the MATLAB environment. Simulation results indicated that the proposed controller exhibits satisfying control effect. 展开更多
关键词 Molten carbonate fuel cell (MCFC) Least squares support vector machine ls-svm Genetic algorithm (GA) Nonlinear predictive controller
下载PDF
优化的近红外光谱LS-SVM模型测定小麦蛋白质 被引量:8
2
作者 陈素彬 胡振 《食品工业》 CAS 北大核心 2019年第12期329-333,共5页
小麦蛋白质测定的常规方法为湿化学分析法,具有操作复杂、污染环境和耗时较长等缺点,为此建立了一个近红外光谱LS-SVM模型,以实现小麦蛋白质含量的简便、快速测定。首先对样品光谱进行"均值中心化+去趋势"预处理,并用SPXY法... 小麦蛋白质测定的常规方法为湿化学分析法,具有操作复杂、污染环境和耗时较长等缺点,为此建立了一个近红外光谱LS-SVM模型,以实现小麦蛋白质含量的简便、快速测定。首先对样品光谱进行"均值中心化+去趋势"预处理,并用SPXY法划分校正集和测试集样本;然后采用改进的二进制蝙蝠算法(IBBA)进行建模参数和特征波长的联合优化,根据优化结果对校正集数据建立LS-SVM模型,并用测试集数据验证其性能;最后通过与常用的PLS、CARS-PLS及未优化的SVM、LS-SVM建模结果进行比较,确认该模型的有效性。结果表明,该模型的各项性能指标优异,能够满足实际检测工作的要求。 展开更多
关键词 近红外光谱 最小二乘支持向量机(Least squares support vector machine ls-svm)模型 优化 小麦蛋白质
原文传递
Tribological properties and wear prediction model of TiC particles reinforced Ni-base alloy composite coatings 被引量:4
3
作者 谭业发 何龙 +2 位作者 王小龙 洪翔 王伟刚 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2014年第8期2566-2573,共8页
TiC particles reinforced Ni-based alloy composite coatings were prepared on 7005 aluminum alloy by plasma spray. The effects of load, speed and temperature on the tribological behavior and mechanisms of the composite ... TiC particles reinforced Ni-based alloy composite coatings were prepared on 7005 aluminum alloy by plasma spray. The effects of load, speed and temperature on the tribological behavior and mechanisms of the composite coatings under dry friction were researched. The wear prediction model of the composite coatings was established based on the least square support vector machine (LS-SVM). The results show that the composite coatings exhibit smaller friction coefficients and wear losses than the Ni-based alloy coatings under different friction conditions. The predicting time of the LS-SVM model is only 12.93%of that of the BP-ANN model, and the predicting accuracies on friction coefficients and wear losses of the former are increased by 58.74%and 41.87%compared with the latter. The LS-SVM model can effectively predict the tribological behavior of the TiCP/Ni-base alloy composite coatings under dry friction. 展开更多
关键词 TiC particles Ni-based alloy composite coating least square support vector machine(ls-svm) wear prediction model
下载PDF
Model penicillin fermentation by least squares support vector machine with tuning based on amended harmony search 被引量:1
4
作者 Hai-Bin Ou Yang Steven Li Ping Zhang 《International Journal of Biomathematics》 2015年第3期175-204,共30页
Penicillin fermentation is an important part of microbial fermentation. Due to the existence of error date in the independent variables and dependent variables of the penicillin fermentation sample data, the accuracy ... Penicillin fermentation is an important part of microbial fermentation. Due to the existence of error date in the independent variables and dependent variables of the penicillin fermentation sample data, the accuracy of the model of penicillin fermentation is affected. In this paper, an amended harmony search (AHS) algorithm is developed to adjust the hyper-parameters of least squares support vector machine (LS-SVM) in order to build penicillin fermentation process model with prediction accuracy. The AHS algorithm is investigated by unconstrained benchmark functions with different characteristics. Compared with other several optimization approaches, AHS demonstrates a better performance. Moreover, using the simulation data from the PenSim simulation platform to validate the effectiveness of the penicillin fermentation process modeling, experiment results show that the penicillin fermentation process modeling based on the tuned LS-SVM by AHS possesses robustness and generalization ability. 展开更多
关键词 Penicillin fermentation harmony search algorithm ls-svm penicillin fermentation process model robustness.
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部