PSO-RVM算法在地铁车站温控系统中的应用
Application of PSO-RVM Algorithm in Metro Station Temperature Control System
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摘要: 鉴于地铁车站温度变化具有非线性、滞后性、时变性等特点,运用粒子群算法-关联向量机(PSO-RVM)算法建立地铁车站大系统温度控制模型。计算结果表明:相比于PSO-SVM算法,基于laplace核、r核、gauss核的PSO-RVM算法较适用于建立地铁车站大系统温度控制模型;此外,该算法也可进一步应用在地铁车站综合监控系统中。Abstract: Given that the metro station temperature change has nonlinear, time-varying, stochastic and other characteristics,PSO-RVM algorithm is adopted to establish metro station temperature control system model. Calculation results show that,compared to PSO-SVM algorithm,PSORVM algorithms based on laplace kernel, r kernel,gauss kernel are more suitable for establishing metro temperature control system model and can be further applied in metro station integrated supervisory control system.
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