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《Journal of Shanghai Jiaotong University》 2009-09
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Optimization Model of Refrigerated Display Cabinet Based on Modified Support Vector Machine

CAO Zhi-kun~1,GU Bo~1,GU Zhong~2(1.School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200240,China;2.Carrier China R & D Ltd.,Shanghai 201206,China)  
Based on pretreatment of practical operation data,such as eliminating outliers by exponential weighted moving average(EWMA) filter,the performance model for a remote open vertical display cabinet was built up using the adaptive support vector machine(ASVM) method.Using the dynamic loss coefficient adjustment,the adaptation of the SVM was realized.Compared to the back propagation neural network model(BPNN),the ASVM simulation model of the display cabinet was characterized by its simple structure,fast convergence speed and high generalization ability.It was revealed by the theoretic analysis and simulation result that the simulation model of a display cabinet built by ASVM method is feasible.(After) being validated,the power consumption of optimized display case is found to be reduced by 20.7%.
【Fund】: 国家自然科学基金资助项目(50876059)
【CateGory Index】: TB65
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